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Articles 631 - 660 of 3180

Full-Text Articles in Engineering

Unsupervised Data Driven Machine Learning In Hyperspectral Imaging And Echocardiography Videos, Kazi Tanzeem Shahid May 2021

Unsupervised Data Driven Machine Learning In Hyperspectral Imaging And Echocardiography Videos, Kazi Tanzeem Shahid

Electrical Engineering Dissertations - Archive

This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently in a linear manner. However, higher accuracy was established by implementing kernel-based expressions of data to express the non-linear relationship of that data in a linear manner, when mapped in a higher dimensional space. This process allows much more effective clustering performances by increasing the informativeness of the data. Hyperspectral images, being limited in spatial resolution as a tradeoff for the significantly higher number of channels compared to traditional images, …

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Robust Training Methods For Deep Neural Networks With A Variety Of Label Noise, Sree Ram Kamabattula May 2021

Robust Training Methods For Deep Neural Networks With A Variety Of Label Noise, Sree Ram Kamabattula

Electrical Engineering Dissertations - Archive

Requirement of significant amount of labeled training data is a major drawback in training deep neural networks (DNNs), due to the presence of mislabeled examples in these datasets. This label noise is shown to have an adverse effect on the generalization performance of DNNs. Thus, reducing the consequences of label noise is of much research value. In this dissertation, we focus on improving our understanding of label noise and, achieving better generalization performance. Due to the lack of ground truth with real world noisy datasets, most researchers create synthetic noisy datasets to develop robust training methods. Among these methods, stopping …

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Evaluation Of Recycled Plastic Pins As Shear Keys In Mse Wall Base, Prabesh Bhandari May 2021

Evaluation Of Recycled Plastic Pins As Shear Keys In Mse Wall Base, Prabesh Bhandari

Civil Engineering Dissertations - Archive

Mechanically Stabilized Earth (MSE) walls have been widely used as retaining structures due to their flexible nature, a better tolerance against differential settlement, and many other factors. However, external stability problems of MSE walls have been an issue in North Texas over decades. Lateral displacement of the wall occurs, giving rise to sliding failure, when there is insufficient shear strength at the wall base to produce adequate frictional resistance. Such failures can cause significant maintenance, repair, and cost implications for the state department of transportation. Furthermore, MSE walls also undergo global failure due to weak soil conditions along with high …

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Photomodulatory Effects On Insulin Secreting Beta Cells, Sheccid Alejandra Loya May 2021

Photomodulatory Effects On Insulin Secreting Beta Cells, Sheccid Alejandra Loya

Bioengineering Theses - Archive

Diabetes mellitus is a chronic metabolic disease characterized by increased blood glucose levels and affects more than 8% of people worldwide (Rutter et. al, 2015). Typically, diabetes is divided into two large subcategories: type 1 diabetes (T1D) and type 2 diabetes (T2D). T1D is an autoimmune disorder caused by the attack of insulin secreting cells by t-cell mediated inflammatory response (Khrraoubi & Darwish, 2015). Currently, islet transplants offer a clinical treatment for restoration of glucose control. However, the current procedure may not be optimal as many transplanted islets do not survive because of the stresses induced during the process (Miki …

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Improving The Impingement Cold Plate Thermal Design Using Numerical And Analytical Approach, Reuben Joshua Madhuker May 2021

Improving The Impingement Cold Plate Thermal Design Using Numerical And Analytical Approach, Reuben Joshua Madhuker

Mechanical and Aerospace Engineering Theses - Archive

Conventional cooling methods for an IC chip uses heat spreader to transfer heat from the chip end of the spreader to the opposite end of the spreader which then uses air or water to remove heat and thereby maintaining the overall temperature. Unfortunately, the heat spreader itself has constraints such as conduction resistance which adds the heat spreader inefficiency. But if we increase the area exposed to the cooling end then this can be improved. This is done by introducing channels at that end. These channels act as fins which give a better shot at cooling the system temperature. These …

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Realization Of Compact Electrochemical Sensing Systems On A Board And A Chip For A High-Density Sensor Array, Hyusim Park May 2021

Realization Of Compact Electrochemical Sensing Systems On A Board And A Chip For A High-Density Sensor Array, Hyusim Park

Electrical Engineering Dissertations - Archive

The sensitive and cost-effective electrochemical sensors based on various classes of nanocomposites fabricated by different methods for the detection of target chemicals. Its application is boundless from reactive monitoring of food additives, human health to environmental safety. In proportion to electrochemical sensor’s usages, the researchers’ interests in electrochemical sensing system have been grown, especially in portable system to satisfy many of the requirements for on-site and in-situ measurements. The electrochemical sensing system is consisted of sensor and electric readout circuit. The one of the most efficient way to carry out the reading of a set of electrochemical sensors for portable …

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Data-Driven Decision Making And Control Of Rational Agents, Patrik Kolaric May 2021

Data-Driven Decision Making And Control Of Rational Agents, Patrik Kolaric

Electrical Engineering Dissertations - Archive

This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an Ex-pert agent. This ties fields of Inverse Optimal Control and Inverse Reinforcement Learning and represents a first data-driven algorithm of this kind in the control community. Next, we have developed optimally adaptive dynamic control allocation mechanism that optimally re-configures redundant actuators in a model-free fashion, that is, based on collected data. This work pushed the multiple frontiers of control allocation research, since state-of-the-art control allocation was Next, …

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Improving Operational Hydrologic Forecasting Via Conditional Bias-Penalized Multi-Sensor Precipitation Estimation And Multi-Model Streamflow Prediction, Ali Jozaghi May 2021

Improving Operational Hydrologic Forecasting Via Conditional Bias-Penalized Multi-Sensor Precipitation Estimation And Multi-Model Streamflow Prediction, Ali Jozaghi

Civil Engineering Dissertations - Archive

Many multivariate analysis techniques involve minimizing mean square error (MSE) or error variance under unbiasedness. In the presence of observation error, variance minimization tends to introduce negative and positive biases, or conditional bias (CB), over the upper and lower tails of the predictands, respectively. This work describes and evaluates three multivariate merging techniques, 1) adaptive conditional bias-penalized cokriging (CBPCK), 2) conditional bias-penalized Multiple Linear Regression (CBP-MLR), and 3) conditional bias-penalized Bayesian Model Averaging (CBP-BMA) which implements CBP-MLR in place of MLR. CBPCK and CBP-MLR minimize a linearly weighted sum of errors squared and the sum of the Type-II error squared, …

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Teenage Cyclists’ Perception Towards Autonomous Vehicles And Its Associated Traffic Infrastructures, Obiageli Lawrentia Ngwu May 2021

Teenage Cyclists’ Perception Towards Autonomous Vehicles And Its Associated Traffic Infrastructures, Obiageli Lawrentia Ngwu

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Background: Cycling is a cost-effective means of transportation. Many teenagers cycle to go to schools and ride in neighborhoods. Cyclists are more vulnerable to injuries and fatalities than motor vehicle drivers. With the implementation of autonomous vehicles (AVs), interactions between AVs and road-users are expected to be safer. It is most likely that current young people will be the ones to use these vehicles and interact with them. However, very few past studies have focused on cyclist-AV interaction, with little to no attention toward the teenage cyclist population. Objectives: This study is aimed at examining teenage cyclists’ perceptions of AVs …

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Photobiomodulation Of Neural Stem Cell Differentiation Using Infrared (810 Nm) Laser Stimulation, Noemi Salgado Cordova May 2021

Photobiomodulation Of Neural Stem Cell Differentiation Using Infrared (810 Nm) Laser Stimulation, Noemi Salgado Cordova

Bioengineering Theses - Archive

The standardized clinical use of photobiomodulation (PBM) across many applications has been obstructed due to the lack of understanding in how each of the parameters affect the end results. Although the optimal parameters for the therapy have been estimated with a level of uncertainty, the positive effects have been documented on cell differentiation, wound healing, brain modulation, etc. These positive effects observed by PBM have been attributed to the increase in reactive oxygen species (ROS), nitric oxide (NO), and ATP along other molecules generated by the stimulation of Cytochrome-C Oxidase (CCO). Although there is much uncertainty surrounding the coupling mechanisms …

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Exploring Imaging Technology In The Diagnosis And Treatment Of Pediatric Medically Refractory Epilepsy With Intracranial Electroencephalography And Post-Surgical Evaluations, Nasheha Baset May 2021

Exploring Imaging Technology In The Diagnosis And Treatment Of Pediatric Medically Refractory Epilepsy With Intracranial Electroencephalography And Post-Surgical Evaluations, Nasheha Baset

Bioengineering Theses - Archive

Abstract Exploring Imaging Technology in the Diagnosis and Treatment of Pediatric Medically Refractory Epilepsy with Intracranial Electroencephalography and Post-Surgical Evaluations Nasheha Baset, MS The University of Texas at Arlington, May 2021 Supervising Professor: Dr. Christos Papadelis Epilepsy is a disorder that commonly causes seizures due to abnormal neurological activity, which can disrupt daily life. Of all patients with epilepsy, 60% suffer from focal epilepsy. Approximately 15% of these cases are considered to be drug resistant, or refractory, as the patient is not responsive to a combination of two or more anti-epileptic drugs (AED). Traditionally, approaches to treatment of medically refractory …

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Bidding Enabled Inventory Redistribution In A Retail Network, Hafsa Binte Mohsin May 2021

Bidding Enabled Inventory Redistribution In A Retail Network, Hafsa Binte Mohsin

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This research aspires to develop a systematic approach to minimize the demand and supply gap of products and product expiration in a feasible way. Inventory replenishment policy, uncertain customer demand, and forecast inaccuracy are some of the reasons that create imbalanced stocks in the outlets. Lateral transshipment or redistribution, donation, and promotion have been discussed in the existing literature separately as ways to balance and utilize inventory. Redistribution needs to account for extra transportation costs due to stock transfer. Existing literature on redistribution fails to address products’ physical attributes, valuation of products as a function of time, and constraint on …

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Damage Assessment Of Glass Fiber Composites Using Dielectric Spectroscopy And Thermally Stimulated Depolarization Current, Bryan Durham, Gayathri Kola, Mohammadkian Mahroumi, Vamsee Vadlamudi, Rassel Raihan, Kenneth Reifsnider, Minhazur Rahman, Monjur Morshed Rabby, Partha Pratim Das, Muthu Ram Prabhu Elenchezhian Jan 2021

Damage Assessment Of Glass Fiber Composites Using Dielectric Spectroscopy And Thermally Stimulated Depolarization Current, Bryan Durham, Gayathri Kola, Mohammadkian Mahroumi, Vamsee Vadlamudi, Rassel Raihan, Kenneth Reifsnider, Minhazur Rahman, Monjur Morshed Rabby, Partha Pratim Das, Muthu Ram Prabhu Elenchezhian

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

A composite is generally defined as a material composed of two or more separate sub-materials that complement each other's characteristics when combined. Composites are widely used in several major industries due to their low density, high strength, and relatively predictable chemical and electrical properties. One of the significant challenges of integrating composites into more diverse fields is the ability to accurately and consistently test for damages. Due to the myriad number of microscopic structures available in composite materials, a single-use testing system is a large contributor to current research. One approach to the non-destructive testing of composites lies in exploiting …

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Mcnair Scholars Research Journal 2021, Calyha Brown, Caroline Carter, Kalvry Cooper, Perla Rodriguez, Huu Trung Tran, Jose A. Cortes, Orion Wynne, Johnathan Alexander Andres, Joshua Perez, Allison Fenske, Chasidah Fried, Giles Fitzwilliams Jan 2021

Mcnair Scholars Research Journal 2021, Calyha Brown, Caroline Carter, Kalvry Cooper, Perla Rodriguez, Huu Trung Tran, Jose A. Cortes, Orion Wynne, Johnathan Alexander Andres, Joshua Perez, Allison Fenske, Chasidah Fried, Giles Fitzwilliams

McNair Scholars Research Journal-Archive

No abstract provided.

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Data-Driven Discovery Of Material States In Composites Under Fatigue Loads, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Rassel Raihan, Kenneth Reifsnider Jan 2021

Data-Driven Discovery Of Material States In Composites Under Fatigue Loads, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Rassel Raihan, Kenneth Reifsnider

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

Our community has a widespread knowledge on the damage tolerance and durability of the composites, developed over the past few decades by various experimental and computational efforts. Several methods have been used to understand the damage behavior and henceforth predict the material states such as residual strength (damage tolerance) and life (durability) of these material systems. Electrochemical Impedance Spectroscopy (EIS) and Broadband Dielectric Spectroscopy (BbDS) are such methods, which have been proven to identify the damage states in composites. Our previous work using BbDS method has proven to serve as precursor to identify the damage levels, indicating the beginning of …

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Ordinary Differential Equations With Machine Learning For Prediction Of Smart Composite Fracture Toughness, Relebohile George Qhobosheane, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Kenneth Reifsnider, Rassel Raihan Jan 2021

Ordinary Differential Equations With Machine Learning For Prediction Of Smart Composite Fracture Toughness, Relebohile George Qhobosheane, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Kenneth Reifsnider, Rassel Raihan

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

This work in on the development of an ordinary differential equation (ODE) model coupled with statistical methods for the prediction of fracture toughness of a magnetostrictive, piezoelectric smart self-sensing Fiber Reinforced Polymer (FRP) composite. The smart composite with sensing properties encompasses Terfenol-D alloy nanoparticles and Single Walled Carbon NanoTubes (SWCNT). To explore various configurations the of nanoparticle constituents’ effect on fracture toughness within the FRP composite, the ODE model developed within a finite element analysis (FEA) environment is considered to attain fracture observations across the solution space. The acquired FEA data is then used to feed the machine-learning (ML) algorithms …

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Effects Of Surface Characteristics On Mechanical And Dielectric Properties Of Adhesively Bonded Carbon Fiber Composites, Minhazur Rahman, Gayathri Kola, Monjur Morshed Rabby, Muthu Ram Prabhu Elenchezhian, Relebohile George Qhobosheane, Vamsee Vadlamudi Jan 2021

Effects Of Surface Characteristics On Mechanical And Dielectric Properties Of Adhesively Bonded Carbon Fiber Composites, Minhazur Rahman, Gayathri Kola, Monjur Morshed Rabby, Muthu Ram Prabhu Elenchezhian, Relebohile George Qhobosheane, Vamsee Vadlamudi

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

The rapid rise of fiber reinforced composite usage in aircraft, spacecraft and automobile industries made the proper comprehension of repair and joining of these materials a crucial aspect. Adhesive bonding is one of the most advantageous and desirable joining and repair technique for fiber reinforced composites. However, the heterogeneity of fiber reinforced composites and the complex interfacial nature of the adhesive bonds, makes most non-destructive evaluation and assessment techniques ineffective to assess the state of the bond. Different manufacturing and surface preparation techniques impart different surface characteristics to the adherends, hence proper understanding of the state of bonds is dependent …

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Investigation Of The Channel Hot Carrier (Chc) Stressing Effects And Identification Of The Stress-Induced Oxide Traps Leading To Rts In Pmosfets, Tanvir Ahmed Dec 2020

Investigation Of The Channel Hot Carrier (Chc) Stressing Effects And Identification Of The Stress-Induced Oxide Traps Leading To Rts In Pmosfets, Tanvir Ahmed

Electrical Engineering Dissertations - Archive

Electrical stressing mechanisms are responsible for the generation of stress-induced gate SiO2 defects, in addition to the presence of process-induced oxide traps, in MOSFETs. Random telegraph signal (RTS) can be utilized as a tool to characterize these defects. Channel hot carrier (CHC) stressing is reported to result in the worst degradation in pMOSFETs. However, the effects of CHC on RTS for pMOSFETs are under-reported. The main objective of this work is to investigate the impact of the CHC stressing on pMOSFETs by analyzing RTS. For this reason, the effects of CHC stressing on different RTS parameters are examined. Additionally, responsible …

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Nanoscale Mechanics Of Disordered Biomolecules In Brain, Md Ishak Khan Dec 2020

Nanoscale Mechanics Of Disordered Biomolecules In Brain, Md Ishak Khan

Mechanical and Aerospace Engineering Dissertations - Archive

The long-term objective of this dissertation is to link blast-induced traumatic brain injury (TBI) with multiscale, multiphysics damage evolution in the brain using experimentally verifiable computations and simulations. The short-term goal is to conduct modeling and simulation to correlate dynamic mechanical loading to damage in sub-axonal components. It is known that the interior of the brain at the macroscale (10^-1 m) is composed of two distinct components, the grey matter, and the white matter. Within the cortex, the grey matter primarily takes the form of cortical columns (mesoscale: 10^-3 m), which are six layered structures, each composed of 8-10 thousand …

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Analytical And Experimental Studies On Mixing In Supersonic Flows, Vijay Gopal Dec 2020

Analytical And Experimental Studies On Mixing In Supersonic Flows, Vijay Gopal

Mechanical and Aerospace Engineering Dissertations - Archive

Mixing enhancement in supersonic flow is an important domain of research for enabling the realization of efficient and scalable high speed air-breathing engines (scramjet). Introducing streamwise vorticies in supersonic flow and tailoring their interactions for mixing enhancement is the primary motivation for the present research study. Leveraging the research performed in the group at the Aerodynamics Research Center (ARC), systematic experimental studies on mixing enhancement is carried out in supersonic flows by tailoring the selected modes of streamwise vortex interactions with the aid of in-house developed reduced order method VorTX. This method utilizes the lifting line-vortex theory in supersonic flow …

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Automating Aerospace Synthesis Code Generation A Tool For Generic Vehicle Design And Technology Forecasting, Thomas Peter Mccall Dec 2020

Automating Aerospace Synthesis Code Generation A Tool For Generic Vehicle Design And Technology Forecasting, Thomas Peter Mccall

Mechanical and Aerospace Engineering Dissertations - Archive

The principal development and deliverable of this research is a generic synthesis assembling decision support environment for early conceptual design that automates the assembly of synthesis architectures for enhanced product exploration and technology forecasting. The objective of this research is to develop a baseline environment to assess complex vehicle automated synthesis architecture synthetization procedures for adaptation into a greater cognitive system. This tool has been developed as a precursory and developmental task in an initiative towards an artificial intelligence design and research assistant peer. The artificial intelligence peer is a perceived course for future design system evolution in the continued …

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Using Numerical Modeling To Determine Viscous Losses Within Helium Turbomachinery, Benjamin Uhlig Dec 2020

Using Numerical Modeling To Determine Viscous Losses Within Helium Turbomachinery, Benjamin Uhlig

Mechanical and Aerospace Engineering Theses - Archive

As the consumption of energy has increased relentlessly over the last few decades, the need for reliable clean energy generation has increased as well. Currently, nuclear power is the only method capable of providing a stable supply of clean energy, although the nuclear energy generation process still requires improvement. Specifically, there is a need to increase efficiencies while reducing the risks of radioactive contamination. It is possible that both these issues may be mitigated using helium as the working fluid. However, the performance of turbomachinery using helium must be evaluated before its use can be implemented. To do this, Balaji …

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Determination Of Landing Zones Of Quadrotors Experiencing In-Flight Failures, Ahmet Tolcu Dec 2020

Determination Of Landing Zones Of Quadrotors Experiencing In-Flight Failures, Ahmet Tolcu

Mechanical and Aerospace Engineering Theses - Archive

In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have attained considerable prominence in a wide range of areas ranging from military operations, including surveillance, intelligence, and reconnaissance, to nonmilitary sectors such as delivery, entertainment, and agriculture. The low cost, small size, and ease of use of quadrotors provide significant advantages for such missions. At the same time however, the occurrence of physical failures in such vehicles, particularly if these failures occur while flying over highly populated areas, can pose considerable risk to people and premises on the ground. This thesis investigates scenarios of power loss due to …

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Experimental Assessment Of Rack-Level Dynamic Direct To Chip Liquid Cooling For Data Center And It Equipment Reliability, Amith Mathew Dec 2020

Experimental Assessment Of Rack-Level Dynamic Direct To Chip Liquid Cooling For Data Center And It Equipment Reliability, Amith Mathew

Mechanical and Aerospace Engineering Theses - Archive

Data centers are used by organizations for storing, processing and distribution of data. These data centers are run through-out the year due to which their thermal management is a growing concern. A popular way of eliminating such thermal cooling issues is Liquid cooling. Conventionally Liquid cooling involves the supply of constant liquid flow (water or refrigerant) through the IT rack irrespective of the IT load, which in a Multi-chip module causes hotspots and temperature gradients across the module due to non-uniform heating. A dynamic cold-plate and a regulatory flow control device (FCD) is incorporated in this experimental set-up to assist …

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Synthesis And In Vivo Biomedical Applications Of Ultrasmall Metal Nanoparticles, Shahab Ranjbar Bahadori Dec 2020

Synthesis And In Vivo Biomedical Applications Of Ultrasmall Metal Nanoparticles, Shahab Ranjbar Bahadori

Material Science and Engineering Dissertations - Archive

Over the past decade, metal-based nanoparticles (MNPs) have gained much popularity in the field of nanomedicine owing to their exceptional physiochemical properties. Easy surface functionalization and conjugation with therapeutic moieties, stability, inertness, and inherent anticancer activities make MNPs promising diagnostic and therapeutic agents. Among different sizes of MNPs, which greatly affect their biodistribution and clearance, ultrasmall metal nanoparticles with the size less than 5 nm demonstrate unique pharmacokinetic properties, making them suitable for nanomedicinal applications. Therefore, many efforts have been made to synthesize various kinds of ultrasmall metal nanoparticles. In this study, a revolutionary synthesis method, termed as liquid diffusion …

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Laboratory Study Of Hydrodynamics Of Submerged Bridges, Max Thomson Dean Dec 2020

Laboratory Study Of Hydrodynamics Of Submerged Bridges, Max Thomson Dean

Civil Engineering Theses - Archive

Bridges are designed to withstand flood and debris loads; however, it is reported that 53% of bridge failures in the U.S. are caused by hydraulic events, including floods, scour, debris, and drifts. A series of scale flume experiments were conducted to determine flood force effects on bridge superstructures. 1:50 scale models of the Texas Department of Transportation’s typical reinforced concrete bridge superstructures were tested. The bridge superstructures included beams (TX28 and TX54 girders, slab beams, and box beams) and an accompanying bridge deck and railing. The drag and lift forces and overturning moments were measured by load sensors for various …

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Developing Strength Reduction Factor For Flexural Design Of Reinforced Concrete Beams Exposed To Fire, Sahar Aradmehr Dec 2020

Developing Strength Reduction Factor For Flexural Design Of Reinforced Concrete Beams Exposed To Fire, Sahar Aradmehr

Civil Engineering Theses - Archive

Fire is a common hazard that may happen during the lifetime of concrete structures. Thus, it is one of the loads considered in building and tunnel design standards and codes. Dependency of the safety and structural integrity of a building to load-bearing elements such as beams requires the safe design of these elements. Flexural design of reinforced concrete (RC) beams under fire is critical. Typical load and resistance factor design (LRFD) of flexural member at ambient temperature deals with comparing the factored applied load with its capacity. Strength reduction factors are applied to the calculated nominal moment capacity to take …

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Laboratory Tests And Numerical Model Of Geothermally Heated Bridge Deck With Attached Hydronic Loop, Teng Li Dec 2020

Laboratory Tests And Numerical Model Of Geothermally Heated Bridge Deck With Attached Hydronic Loop, Teng Li

Civil Engineering Dissertations - Archive

An accumulation of ice and snow on pavement slabs and bridge decks always adversely impacts driving conditions and results in motorist accidents. The use of the more popular deicing methods, including plowing, salting, and sanding, is limited by their relatively high cost for materials, fuel, maintenance, and labor. Geothermal energy, which is considered a renewable, sustainable, clean (i.e., zero carbon emission), and directly used energy source, has been successfully applied to bridges and pavements for deicing. However, existing geothermal bridge and pavement deicing designs are primarily employed for new bridges where hydronic loops, which are considered internal heating, are embedded …

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Experimental Investigation Of Anchor Group Effects On Concrete Breakout Strength Within Fiber Reinforced Concrete, Atheer Alaa Al Khafaji Dec 2020

Experimental Investigation Of Anchor Group Effects On Concrete Breakout Strength Within Fiber Reinforced Concrete, Atheer Alaa Al Khafaji

Civil Engineering Theses - Archive

This research investigates the effect of anchor groups on concrete breakout strength within steel fiber reinforced concrete (SFRC) under tension load. High strength steel headed studs (F1554 Grade 105) in grouping action were cast-in-place within concrete specimens of different amounts of steel fibers. Four types of concrete mix designs were produced in the lab by using different amounts of steel fibers (0%, 0.5%, 1%, and 1.5%) by volume fraction of the mixture. The physical properties of steel fibers reinforced concrete were calculated through testing of specimens at the Civil Engineering Laboratory Building (CELB). In total, 12 cylinder specimens of 4-inch …

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Hydrologic & Hydraulic Analyses To Re-Establish Trigg Branch’S Jurisdictional Channel To Pre-Dam Condition Using Hec-Hms & Hec-Ras Models, Razak Ahmed Albarqaawee Dec 2020

Hydrologic & Hydraulic Analyses To Re-Establish Trigg Branch’S Jurisdictional Channel To Pre-Dam Condition Using Hec-Hms & Hec-Ras Models, Razak Ahmed Albarqaawee

Civil Engineering Theses - Archive

Birds strikes are the most prevalent cause of airplanes strikes, and retention ponds near airports are one of the most attractive spots for both immigrant and domestic wildlife USDA (2017). Since the Trigg Lake, water surface area covers around 46 acres and is located approx. 1.5 miles from four main runways, which make the lake a perfect shelter for birds to build their nests and eventually strike departing and/or landing aircraft. Based on a Federal Aviation Administration (FAA) advisory circular, no retention pond should be constructed within five miles of an airport nor should it have standing storm runoff for …

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