Mechanical Behavior Of Clay Soil Stabilized With Fly Ash And Bottom Ash,
2022
Civil Engineering Department, Universitas Riau, Pekanbaru 28293, Indonesia
Mechanical Behavior Of Clay Soil Stabilized With Fly Ash And Bottom Ash, Soewignjo Agus Nugroho, Azra Zulnasari, Ferry Fatnanta, Andius Dasa Putra
Makara Journal of Technology
Soil is one of the most important aspects of an infrastructure given its functions of receiving and holding structural loads. However, not all soils have good physical and mechanical properties. To overcome those conditions, stabilization of the soil is practiced to meet the technical requirements. This study aims to determine the behavior of high plasticity clay stabilized with lime, fly ash, and bottom ash. These additives can be used as a stabilizing agent to increase soil strength. The percentage of additives varied from 5%–25% then mixed with clay and were tested through the (Unconfined Compression Strength (UCS) test. The UCS …
Enhancement Of Biogas Production Through Solid-State Anaerobic Co-Digestion Of Food Waste And Corn Cobs,
2022
Department of Chemical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55164, Indonesia
Enhancement Of Biogas Production Through Solid-State Anaerobic Co-Digestion Of Food Waste And Corn Cobs, Lukhi Mulia Shitophyta, Anisa Salsabila, Firanita Angraini Putri, Siti Jamilatun
Makara Journal of Technology
Although biogas has been primarily produced through liquid anaerobic digestion, this method leads to the floating and stratification of fibers and non-homogeneous mixing, which can reduce the biogas yield. Alternatively, biogas can be produced by the solid-state anaerobic digestion (SS-AD) of organic material with a high solid content, such as corn cobs. We investigated the co-digestion of food waste and corn cobs as a biomass feedstock for SS-AD in biogas production. We measured the effects of the total solid (TS) content, percentage of food waste, and reduction in volatile solids (VS), from which we determined its appropriate kinetic model. We …
Structural Health Monitoring: From Virtual Shakers To Machine Learning,
2022
University of Notre Dame
Structural Health Monitoring: From Virtual Shakers To Machine Learning, Ahsan Kareem
Abbett Distinguished Seminar Series
Structural health monitoring (SHM) is a critical means of assessing the performance of aging civil infrastructure. Earlier studies used heavy dynamic shakers to assess the dynamics of structures, which are unwieldy and reliance has been shifted to ambient vibration of structures to extract dynamic features. This study introduces a “virtual shaker” concept that effectively replaces the physical shaker and provides all the desired features for SHM. Examples are provided along with an App that facilitates the use of this concept to identify dynamic features. A traditional structural health monitoring (SHM) operation requires a wired system, which is often termed “hub …
Machine Learning-Based Bridge Load Posting Prediction,
2022
Louisiana State University and Agricultural and Mechanical College
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
LSU Master's Theses
1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …
Machine Learning-Based Bridge Load Posting Prediction,
2022
Louisiana State University and Agricultural and Mechanical College
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
LSU Master's Theses
1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …
A Case Study Of Protecting Bridges Against Overheight Vehicles,
2022
Louisiana State University at Baton Rouge
A Case Study Of Protecting Bridges Against Overheight Vehicles, Aly Mousaad Aly, Marc Hoffmann
Faculty Publications
Most transportation departments have recognized and developed procedures to address the ever-increasing weights of trucks traveling on bridges in service today. Transportation agencies also recognize the issues with overheight vehicles’ collisions with bridges, but few stakeholders have definitive countermeasures. Bridges are becoming more vulnerable to collisions from overheight vehicles. The exact response under lateral impact force is difficult to predict. In this paper, nonlinear impact analysis shows that the degree of deformation recorded through the modeling of the unprotected vehicle-girder model provides realistic results compared to the observation from the US-61 bridge overheight vehicle impact. The predicted displacements are 0.229 …
Optimizing The Self-Healing Efficiency Of Hydrogel Encapsulated Bacteria In Concrete,
2022
Louisiana State University
Optimizing The Self-Healing Efficiency Of Hydrogel Encapsulated Bacteria In Concrete, Ricardo Hungria
LSU Master's Theses
Calcium carbonate precipitation through microbial means is a promising pathway for concrete self-healing technologies, mainly for its microcrack sealing attributes. The main goal of this project was to study and optimize the crack healing efficiency of hydrogel encapsulated bacteria in concrete. To achieve this purpose, Bacillus pseudiformus was implemented as the bacteria strain at a concentration of 108 cells/ml. This bacterium strain along with yeast extract was combined along with three different mineral precursors corresponding to magnesium acetate, calcium lactate, and sodium lactate. All these three precursors were evaluated at two concentrations (67.76 mM/l and 75 mM/l). For each …
Cost-Efficient Bridge Scour Health Monitoring Using Commercial Sensors,
2022
Kennesaw State University
Cost-Efficient Bridge Scour Health Monitoring Using Commercial Sensors, Connor Embleau, Tien Yee, Metin Oguzmert, Mahyar Amirgholy, Alan Akazemi, Dale Goff
Symposium of Student Scholars
Bridge scouring has been a major international issue regarding bridge health and the overall longevity of a bridge. A common bridge health concern such as scouring accounts for close to 60% of bridge failures in the United States and is a leading cause to a bridge being in critical condition. Traditional methods to combat this failure is to measure the scour depth to assess a bridge health. Due to safety concerns of the traditional method, this study proposes to monitor a bridge’s health using a vibration-based technique. At present, vibration-based techniques have yet to be utilized reliably in the field. …
Fast Forest Fire Smoke Detection Using Mvmnet,
2022
Missouri University of Science and Technology
Fast Forest Fire Smoke Detection Using Mvmnet, Yaowen Hu, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Weiwei Cai, Kun Guo, Yahui Hu, Liujun Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Forest fires are a huge ecological hazard, and smoke is an early characteristic of forest fires. Smoke is present only in a tiny region in images that are captured in the early stages of smoke occurrence or when the smoke is far from the camera. Furthermore, smoke dispersal is uneven, and the background environment is complicated and changing, thereby leading to inconspicuous pixel-based features that complicate smoke detection. In this paper, we propose a detection method called multioriented detection based on a value conversion-attention mechanism module and Mixed-NMS (MVMNet). First, a multioriented detection method is proposed. In contrast to traditional …
Reducing Early-Age Shrinkage Cracks Of Bridge Decks And Rails,
2022
University of Nebraska-Lincoln
Reducing Early-Age Shrinkage Cracks Of Bridge Decks And Rails, Soumitra Das, George Morcous, Jiong Hu
UNL Student Research Days Posters, Graduate
Early-age shrinkage cracking of concrete bridge decks and rails accelerates the penetration of water and chemicals which leads to reinforcement corrosion, delamination, and eventually spalling. All this results in shorter service life, road closure, and costly repair. Development of Low-cement concrete(LCC) mix to reduce early age shrinkage crack through aggregate grading optimization was done in this research work. This approach also reduces concrete cost ($15-$20/cyd) (15–25%) and its carbon footprint (≈15%).
Evaluating The Effects Of Shored Construction On Steel Girder Composite Bridges,
2022
Embry-Riddle Aeronautical University
Evaluating The Effects Of Shored Construction On Steel Girder Composite Bridges, Parker Brooks
Doctoral Dissertations and Master's Theses
Steel composite girder bridges provide economic advantages and higher load-carrying capacity than non-composite alternatives. Over the years, a conventional sequence of un-shored construction for steel girder composite bridges has been developed. There is an alternative construction sequence, known as shored construction, that uses temporary supports (discretely or fully supported) for the superstructure during the installation of metal forms and the pouring of concrete. Shored construction also can be used in an Accelerated Bridge Construction (ABC) practice where construction occurs at a nearby site and fully-formed elements are transported to the final site using self-propelled modular transporters (SPMTs). In order to …
Monitoring Of Structural Quality Under Construction Using 3d Point Cloud Data,
2022
University of New Mexico - Main Campus
Monitoring Of Structural Quality Under Construction Using 3d Point Cloud Data, Xinxing Yuan
Civil Engineering ETDs
Inspection of infrastructure under construction has become an active research topic in the past few decades. Due to rising costs and safety concerns of current inspection methods, automated inspection methods are proposed. In this context, this dissertation has developed a framework that uses 3D point cloud data from the bridge under construction and evaluates the design specifications and the strength capacity of the structure while is being built. This study presents a slicing algorithm for automatically evaluating rebar placement using 3D point cloud data. The outcomes of this research provide structural engineering with (i) automatic inspection of reinforcement during construction; …
Toward Dexterous Aerial Manipulation Using Embodied Human-Intelligence For Bridge Inspection And Maintenance,
2022
University of Nevada, Las Vegas
Toward Dexterous Aerial Manipulation Using Embodied Human-Intelligence For Bridge Inspection And Maintenance, Dongbin Kim
INSPIRE Archived Webinars
Current drones perform a wide variety of tasks in surveillance, photography, agriculture, package delivery, etc. However, these tasks are performed passively without the use of human interaction. Aerial manipulation shifts this paradigm and implements drones with robotic arms that allow interaction with the environment rather than simply sensing it. Many research groups have demonstrated aerial manipulation for various applications for over a decade. For example, in construction, aerial manipulation in conjunction with human interaction could allow operators to perform several tasks, such as hosing decks, drill into surfaces, and sealing cracks via a drone. This integration with drones will henceforth …
Bc-Dunet-Based Segmentation Of Fine Cracks In Bridges Under A Complex Background,
2022
Missouri University of Science and Technology
Bc-Dunet-Based Segmentation Of Fine Cracks In Bridges Under A Complex Background, Tao Liu, Liangji Zhang, Guoxiong Zhou, Weiwei Cai, Chuang Cai, Liujun Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Crack is the external expression form of potential safety risks in bridge construction. Currently, automatic detection and segmentation of bridge cracks remains the top priority of civil engineers. With the development of image segmentation techniques based on convolutional neural networks, new opportunities emerge in bridge crack detection. Traditional bridge crack detection methods are vulnerable to complex background and small cracks, which is difficult to achieve effective segmentation. This study presents a bridge crack segmentation method based on a densely connected U-Net network (BC-DUnet) with a background elimination module and cross-attention mechanism. First, a dense connected feature extraction model (DCFEM) integrating …
To Critically Review The Use Of Screencasts For Teaching Land Surveying,
2022
Technological University Dublin
To Critically Review The Use Of Screencasts For Teaching Land Surveying, Eugen Niculae, Alain Chenaux
Conference papers
Screencasting tools allow for a screen capture of the actions on a computer screen with accompanying audio. This research initially reviews through the literature how screencasting has been used pedagogically and, through this primary research, the application of an existing screencast called Screencast-O-Matic and feedback from students from both Construction Management and Geospatial Surveying Undergraduate Programmes of TU Dublin, where and how it could be deployed for the surveying classes and fieldwork during the pandemic situation. This research occurred when all Irish third-level institutions lectures and tutorials moved online, and access to survey equipment for fieldwork was severely reduced. The …
Influence Of Phosphorus Sources On The Compressive Strength And Microstructure Of Ferronickel Slag-Based Magnesium Phosphate Cement,
2022
Missouri University of Science and Technology
Influence Of Phosphorus Sources On The Compressive Strength And Microstructure Of Ferronickel Slag-Based Magnesium Phosphate Cement, Cuirong Yan, Hongyan Ma, Zhongqiu Luo, Xintao Zhou, Luxing Wang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Electric furnace ferronickel slag (EFS) is a typical magnesium-rich industrial by-product discharged from the manufacture of nickel and iron-nickel alloys. The approach to use it as the raw material for the preparation of magnesium phosphate cement (MPC) has potential and proves effec-tive. In this study, three different phosphorus sources (PS) including phosphoric acid (H3PO4, PA), sodium dihydrogen phosphate (NaH2 PO4, SDP) and potassium dihydrogen phosphate (KH2 PO4, PDP) were used to react with EFS to prepare the EFS-based MPC (EMPC), and the effects of raw material mass ratio (EFS/PA, EFS/SDP, …
GRI
Effects Of Long Duration Earthquakes On The Interaction Of Inertial And Liquefaction-Induced Kinematic Demands On Pile-Supported Wharves, Milad Souri, Arash Khosravifar, Stephen E. Dickenson, Nason Mccullough, Scott Schlechter
Civil and Environmental Engineering Faculty Publications and Presentations
Nonlinear dynamic analyses were performed to evaluate the effects of ground motion duration on the dynamic response of a pile-supported wharf subjected to liquefaction-induced lateral ground deformations. The numerical model was first calibrated using recorded data from a well-instrumented centrifuge test, after which incremental dynamic analyses were conducted using a suite of spectrally matched motions with different durations. The nonlinear dynamic analyses were performed to evaluated three loading scenarios: combined effects of inertial loads from the wharf deck and kinematic loads from ground deformations, deck inertial loads only in the absence of liquefaction (with minimal kinematic loads), and kinematic loads …
Resilient Modulus Of Siliciclastic Unbound Granular Materials Under Repeated Wheel Loading,
2022
University of Dar es Salaam
Resilient Modulus Of Siliciclastic Unbound Granular Materials Under Repeated Wheel Loading, Siya Rimoyi
Tanzania Journal of Engineering and Technology (TJET)
The Resilient Modulus (Mr) is a fundamental material property input in modern Mechanistic-Empirical (M-E) pavements structural design. Empirical pavement design methods have been in use over a long period during which large databases of four- days-soaked California Bearing Ratio (CBR) values at or near the Maximum Dry Density have been generated in the strength assessments for Unbound Granular Materials (UGMs). In the adoption of the M-E design approach researchers have so far attempted with various degrees of success to develop models to derive resilient modulus from the conventional CBR-based databases. This study provides an extensive laboratory experimental study to investigate …
Blast Analysis Of Steel-Plate Composite Slabs: Sdof And Fem Analyses,
2022
Purdue University
Blast Analysis Of Steel-Plate Composite Slabs: Sdof And Fem Analyses, Joshua R. Harmon, Amit H. Varma
Bowen Laboratory Research Reports
Steel-plate composite (SC) members have emerged as competitive construction methods for tall buildings and nuclear power plants. Detailed design guidance has been created for these functions and design of these members is now covered in AISC 341-16 and ASIC N690-18. However, SC members are emerging for use in protective structures to withstand blast and impact loads. Although experimental tests of SC members for blast resistant design have been conducted, design of SC members for blast loads has not been addressed in existing design references for blast loadings (UFC 3-340-02). This report details a general design philosophy for blast loaded SC …
Setting Times Of Early-Age Mortars Determined From Evolution Curves Of Poisson’S Ratio,
2022
Missouri University of Science and Technology
Setting Times Of Early-Age Mortars Determined From Evolution Curves Of Poisson’S Ratio, Bate Bate, Xiao Chen, Chao Chen, Hongyan Ma, Jianfeng Zhu, Junnan Cao, Jiakai Chen, Kamal Khayat, Shuai Zhang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Setting times, as the early-age properties of cement-based materials, are important properties to ensure the quality and long-term performance of engineering structures. To determine the initial and final setting times of cementitious materials, the compressive wave velocity and shear wave velocity of six early-age mortar samples were monitored. Their time evolution curves of Young's modulus, shear modulus, bulk modulus, and Poisson's ratio were then calculated and analyzed. The signature times of the derivatives of the Poisson's ratio evolution curves correlate well with the initial and final setting times, and the remarkably high coefficient of determination values relative to the data …
