Structural Engineering Commons^™

Development And Promotion Of Mass Timber Noise Barrier For Highways, Harsh Bothra

All Theses

Highways are some of the biggest causes of noise pollution in the United States of America. To deal with the traffic noise coming from these highways, noise barriers have been erected across major highways. The goal is to reduce as much noise as possible through a sustainable solution. Unfortunately, the use of steel and concrete, commonly used materials, have undesired environmental impacts. A suggested sustainable alternative material would be mass timber. Mass timber products such as cross-laminated timber (CLT) and mass plywood panels (MPP) has attracted the attention of the construction industry in the U.S, as they are sustainable, light, …

Naturally Occurring Van Der Waals Heterostructure Lengenbachite With Strong In-Plane Structural And Optical Anisotropy, Arindam Dasgupta, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Lengenbachite is a naturally occurring layered mineral formed with alternating stacks of two constituent PbS-like and M₂S₃-like two-dimensional (2D) material layers due to the phase segregation process during the formation. Here, we demonstrate to achieve van der Waals (vdW) heterostructures of lengenbachite down to a few layer-pair thickness by mechanical exfoliation of bulk lengenbachite mineral. The incommensurability between the constituent isotropic 2D material layers makes the formed vdW heterostructure exhibit strong in-plane structural anisotropy, which leads to highly anisotropic optical responses in lengenbachite thin flakes, including anisotropic Raman scattering, linear dichroism, and anisotropic third-harmonic generation. Moreover, …

Cyber Physical Systems For Non-Contact Infrastructure Monitoring, Roya Nasimi

Civil Engineering ETDs

In recent decades, the decay of infrastructure has become a relevant challenge of both developed and under developing countries. Prioritization of maintenance and repairs of transportation infrastructure is a new worldwide priority since it is important to quantify the rate of decay of assets to increase both safety and cost-efficient operations. Infrastructure owners need frequent inspections on their assets to predict and to avoid unsafe conditions prone to cause disasters. Frequent infrastructure inspections call for cost-effective methods. Traditional measurement methods require human access to the infrastructure, are subjective, expensive, and unsafe. Therefore, infrastructure managers are interested in exploring new non-contact …

Assessing The Vertical Displacement Of The Grand Ethiopian Renaissance Dam During Its Filling Using Dinsar Technology And Its Potential Acute Consequences On The Downstream Countries, Hesham El-Askary, Amr Fawzy, Rejoice Thomas, Wenzhao Li, Nicholas Lahaye, Erik Linstead, Thomas Piechota, Daniele Struppa, Mohamed Abdelaty Sayed

Mathematics, Physics, and Computer Science Faculty Articles and Research

The Grand Ethiopian Renaissance Dam (GERD), formerly known as the Millennium Dam, is currently under construction and has been filling at a fast rate without sufficient known analysis on possible impacts on the body of the structure. The filling of GERD not only has an impact on the Blue Nile Basin hydrology, water storage and flow but also poses massive risks in case of collapse. Rosaries Dam located in Sudan at only 116 km downstream of GERD, along with the 20 million Sudanese benefiting from that dam, would be seriously threatened in case of the collapse of GERD. In this …

Faster Post-Earthquake Damage Assessment Based On 1d Convolutional Neural Networks, Xinzhe Yuan, Dustin Tanksley, Liujun Li, Haibin Zhang, Genda Chen, Donald C. Wunsch

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Contemporary deep learning approaches for post-earthquake damage assessments based on 2D convolutional neural networks (CNNs) require encoding of ground motion records to transform their inherent 1D time series to 2D images, thus requiring high computing time and resources. This study develops a 1D CNN model to avoid the costly 2D image encoding. The 1D CNN model is compared with a 2D CNN model with wavelet transform encoding and a feedforward neural network (FNN) model to evaluate prediction performance and computational efficiency. A case study of a benchmark reinforced concrete (r/c) building indicated that the 1D CNN model achieved a prediction …

Machine Learning For High-Fidelity Prediction Of Cement Hydration Kinetics In Blended Systems, Rachel Cook, Taihao Han, Alaina Childers, Cambria Ryckman, Kamal Khayat, Hongyan Ma, Jie Huang, Aditya Kumar

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The production of ordinary Portland cement (OPC), the most broadly utilized man-made material, has been scrutinized due to its contributions to global anthropogenic CO₂ emissions. Thus -- to mitigate CO₂ emissions -- mineral additives have been promulgated as partial replacements for OPC. However, additives -- depending on their physiochemical characteristics -- can exert varying effects on OPC's hydration kinetics. Therefore -- in regards to more complex systems -- it is infeasible for semi-empirical kinetic models to reveal the underlying nonlinear composition-property (i.e., reactivity) relationships. In the past decade or so, machine learning (ML) has arisen as a promising, …

Semi-Annual Progress Report #9, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

Three-Dimensional Printing Of Reinforced Concrete And Nozzle Therefor, Chenglin Wu, Genda Chen, Dimitri Feys, Guirong Grace Yan, Bryce Tyler Tafolla

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A three-dimensional printing system for reinforced concrete and a nozzle therefor. The system employs an extruder for extruding unreinforced concrete and a concrete reinforcement feeder is for feeding one or more elongate reinforcement members. The nozzle has an outlet and is operatively connected to the extruder and the concrete reinforcement feeder to receive the unreinforced concrete from the extruder and to receive the one or more elongate reinforcement members from the concrete reinforcement feeder. The nozzle combines the unreinforced concrete from the extruder and the one or more elongate reinforcement members from the concrete reinforcement feeder into a reinforced concrete …

Effects Of Fiber Clustering On Fatigue Behavior Of Steel Fiber Reinforced Concrete Beams, Danying Gao, Zhiqiang Gu, Congjie Wei, Chenglin Wu, Yuyang Pang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper investigated the effects of fiber clustering on fatigue behavior of steel-fiber-reinforced concrete (SFRC) beams with reinforcements by experimental and numerical analysis. The steel fiber volume fractions of beams were 0 vol%, 0.5 vol%, 1.0 vol%, and 1.5 vol%. One beam was tested under static loading, and eight beams under fatigue loading with different stress levels. Moreover, the fiber distribution in the cross section of concrete was experimentally characterized to understand the underlying mechanism. The results indicated that the fatigue life of beam increased with increasing fiber volume fraction from 0 to 1.0 vol% and decreased from 1.0 vol% …

3d Printed Concrete & Polymer Concrete For Infrastructure Applications, Daniel Heras Murcia

Civil Engineering ETDs

Additive manufacturing technology has been established as one of the fastest-growing building technologies worldwide. Three-dimensional concrete printing (3DCP) has developed an increasing interest in the last decade due to its prospects as a transformative technology for industries such as the concrete precast. Besides the improvements in automation technologies in construction, traditional construction has faced considerable challenges: high accident rates, labor dependency, significant potential for automation, and high costs associated with the use of traditional formwork. In this context, three-dimensional concrete, also referred to as physical prototyping, is a novel construction technique in which the concrete is extruded layer-to-layer. 3DCP is …

Image-Based Bridge Defect Detection And Monitoring Technologies, Jian Zhang

INSPIRE Archived Webinars

Computer-vision is an emerging technology which has been widely used in the field of structural health monitoring. This seminar will cover the latest achievements of our research group in defect detection, health monitoring, and construction control using image-based technologies. For defect detection, advanced unmanned aerial vehicles (UAVs) have been developed to automatically detect surface cracks and other types of structural damages based on digital image processing techniques. An integrated navigation system combining binocular camera and inertial sensor enables automated route planning for the developed UAVs in case of GPS failure. Specifically, a wall-climbing UAV is designed to acquire detailed surface …

Using Comprehensive Finite Element Analysis To Simulate A Special Connection In Post-Tensioned Concrete, Joshuah Leljedal

Symposium of Student Scholars

Finite element analysis (FEA) uses differential equations to determine a computer-based solution that explains interactive behaviors within models of complex structural and mechanical systems, subjected to various loading and environmental conditions. Those systems are partitioned into finite elements consisting of a linear mesh with nodes at each end point, and FEA determines relationships, such as force-displacement, between each of the finite elements. This apportioned model allows systems to be evaluated under multiple loading scenarios. Computer-based FEA offers significant benefits that reduce cost and the time required to perform alternative analysis for complex structural systems. In this research project, a comprehensive …

Assessment Of Key Imperatives For Enhancing Precast Adoptability In Egypt, Mostafa Sameh

Theses and Dissertations

Precast Concrete’s modular application concept is a major construction method that has been used historically seen in various shapes, forms, and with a wide range of constituents. Examples include Ancient Egypt and China among several impressive structures in old civilizations. The major advantages of precast concrete lie in its adaptability, resilience, and versatility which makes precast concrete one of the most agile building materials. Precast concrete as we know it today has been introduced to our markets over the past several decades. Having similar advantages to that of old precast building methods, the road has been paved for wider use …

Evaluation Of Guayule Resin As An Innovative Bio-Based Asphalt Alternative In Mix Performance -- Preprint, Ahmed Hemida, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Literature revealed the potential of using guayule resin for asphalt cement replacement from the binder’s perspective. However, monitoring guayule resin through binder-aggregate mixture could disclose its performance through field. In this study, designated binders were employed to investigate the applicability of such an innovative replacer through mixture, which were neat asphalt and guayule-based binders (neat guayule, asphalt-rubber-guayule, guayule-rubber binders). Consecutively, field-simulated lab mixtures were prepared to investigate the major distresses. Moisture damage, rutting, fatigue cracking, and thermal cracking resistances were investigated using the modified Lottman (TSR) test, rut test by asphalt pavement analyzer (APA), semi-circular bending (SCB) test, and disk-shaped …

Poster Awards Ceremony, Hongyan Ma

INSPIRE-UTC Annual Meetings

• 1st Place: Dongbin Kim, Missouri S&T, A Human-Embodied Drone for Dexterous Aerial Manipulation
• 2nd Place: Yu Otsuki, Georgia Tech, Autonomous ultrasonic thickness measurement using Martlet wireless sensing system integrated with a steel climbing mobile robot
• 3rd Place: Pu Jiao, Missouri S&T, INSPIRE UTC Bridge Inspection Field Campaign Update, 2021

Closing Remarks And Winners Announced, Hongyan Ma

INSPIRE-UTC Annual Meetings

Closing Remarks and Winners Announced by INSPIRE UTC Graduate Student Poster Session Chair Dr. Hongyan Ma, Assistant Professor, Civil, Architectural & Environmental Engineering, Missouri S&T

Improving 3d Metric Gpr Imaging Using Robotic Data Collection And Dnn Based Processing, Jinglun Feng

INSPIRE-UTC Annual Meetings

GPR is one of the most important NDE devices to detect subsurface objects and reconstruct the underground scene. There are two challenges for GPR- based inspection, which are GPR data collection and subsurface object imaging. To address these challenges, we propose a robotic solution that automates the GPR data collection process with a free motion pattern. It facilitates the 3D metric GPR imaging by tagging the pose information with GPR measurement in real-time. We also introduce a DNN based GPR data analysis method which includes a noise removal segmentation module to clear the noise in GPR raw data and a …

Encoding Time-Series Ground Motions As Images For Convolutional Neural Networks-Based Seismic Damage Evaluation, Xinzhe Yuan

INSPIRE-UTC Annual Meetings

Earthquake records can be encoded as images to classify their resulting damage states to structures based on convolutional neural networks (CNNs). Different encoding techniques such as Recurrence Plot (RP) and Wavelet Transform (WT) can be used to transfer earthquake records to images. Presently, no consensus has been reached on the understanding of the most suitable encoding technique for CNN-based seismic damage classification. In this study, we develop a new encoding technique based on Time-series Segmentation (TS) and compare it to state-of-the-art RP and WT techniques. These techniques are mainly compared based on their classification accuracy and computation efficiency.

Reveal Underground Defects Through Impact Sounding (Is) And Impact Echo (Ie), Ejup Hoxha

INSPIRE-UTC Annual Meetings

Impact Echo (IE) and Impact Sounding (IS) are well-developed non-destructive evaluation (NDE) methods that are widely used for inspection of concrete structures to ensure safety and sustainability. However, it is a tedious work to collect IE and IS data along grid lines covering large target area for characterization of subsurface defects. On the other hand, data processing is very complicated and requires domain experts to interpret the results. To address the above problems, we present a robotic inspection system, to automate the data collection process and introduce data analytics software to visualize the inspection results allowing non-professionals to easily understand …

Autonomous Ultrasonic Thickness Measurement Using Martlet Wireless Sensing System Integrated With A Steel Climbing Mobile Robot, Yu Otsuki

INSPIRE-UTC Annual Meetings

The objective of this research is to develop an autonomous ultrasonic thickness measurement system for steel bridge members through the integration of wireless sensing and robotics. The ultrasonic thickness measurement is achieved using a transducer that requires access to only one side of a steel bridge member. Building upon the Martlet wireless sensing platform, this project first develops pulser and ultrasonic daughter boards to generate a pulse excitation and to filter and amplify the received ultrasonic signal. The developed Martlet wireless ultrasonic device is next integrated with a steel climbing mobile robot developed by University of Nevada, Reno (UNR). The …