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Articles 1 - 21 of 21
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Seismic Performance Of Chevron-Configured Special Concentrically Braced Frames With Yielding Beams, Hayato Asada, Andrew D. Sen, Tao Li, Jeffrey W. Berman, Dawn E. Lehman, Charles W. Roeder
Seismic Performance Of Chevron-Configured Special Concentrically Braced Frames With Yielding Beams, Hayato Asada, Andrew D. Sen, Tao Li, Jeffrey W. Berman, Dawn E. Lehman, Charles W. Roeder
Civil and Environmental Engineering Faculty Research and Publications
Current seismic design requirements for special concentrically braced frames (SCBFs) in chevron configurations require that the beams supporting the braces be designed to resist the demands resulting from the simultaneous yielding of the tension brace and degraded, post-buckling strength of the compression brace. Recent research, including large-scale experiments and detailed finite-element analyses, has demonstrated that limited beam yielding is not detrimental to chevron braced frame behavior and actually increases the story drift at which the braces fracture. These findings have resulted in new expressions for computing beam demands in chevron SCBFs that reduce the demand in the tension brace to …
Improved Virus Isoelectric Point Estimation By Exclusion Of Known And Predicted Genome-Binding Regions, Joe Heffron, Brooke Mayer
Improved Virus Isoelectric Point Estimation By Exclusion Of Known And Predicted Genome-Binding Regions, Joe Heffron, Brooke Mayer
Civil and Environmental Engineering Faculty Research and Publications
Knowledge of the isoelectric points (pIs) of viruses is beneficial for predicting virus behavior in environmental transport and physical/chemical treatment applications. However, the empirically measured pIs of many viruses have thus far defied simple explanation, let alone prediction, based on the ionizable amino acid composition of the virus capsid. Here, we suggest an approach for predicting the pI of nonenveloped viruses by excluding capsid regions that stabilize the virus polynucleotide via electrostatic interactions. This method was applied first to viruses with known polynucleotide-binding regions (PBRs) and/or three-dimensional (3D) structures. Then, PBRs were predicted in a group of 32 unique viral …
Comparative Transport Of Legionella And E. Coli Through Saturated Porous Media In A Two-Dimensional Tank, Indrayudh Mondal, Jazlyn Acosta, Absar Alum, Brooke Mayer, Paul Dahlen, Morteza Abbaszadegan
Comparative Transport Of Legionella And E. Coli Through Saturated Porous Media In A Two-Dimensional Tank, Indrayudh Mondal, Jazlyn Acosta, Absar Alum, Brooke Mayer, Paul Dahlen, Morteza Abbaszadegan
Civil and Environmental Engineering Faculty Research and Publications
This study investigated bacterial transport in a two-dimensional (2-D) tank to evaluate the bacterial behavior of Legionella pneumophila as compared to Escherichia coli under saturated flow to simulate aquifer conditions. The experiments were performed in a 2-D tank packed with 3700 in3 (60,632 cm3) of commercially available bagged play sand under saturated conditions. The tank was disinfected by backwashing with 10% chlorine solution and subsequently neutralized by backwashing with tap water containing sodium thiosulphate (Na2S2O3) to ensure no chlorine residual. Bacterial transport was measured using samples collected from ports located at …
Determination Of Construction Site Elevations Using Drone Technology, Yuhan Jiang, Yong Bai
Determination Of Construction Site Elevations Using Drone Technology, Yuhan Jiang, Yong Bai
Civil and Environmental Engineering Faculty Research and Publications
Image-based 3D-reconstruction techniques, such as drone photogrammetry, have been adopted to various construction operations. The challenge is determining the construction site elevation, which is the vertical distance from the ground to the camera, in real-time. This paper presents the research results of using two frame drone-based ortho-images to estimate the elevation of a construction site. This idea is derived from the stereo vision model for measuring distance of indoor scenes. The spatial resolution of the stereo vision is a positive correlation with its baseline, the distance between two cameras. However, a large baseline stereo cameras system is impossible for a …
Determining Ground Elevations Covered By Vegetation On Construction Sites Using Drone-Based Orthoimage And Convolutional Neural Network, Yuhan Jiang, Yong Bai, Sisi Han
Determining Ground Elevations Covered By Vegetation On Construction Sites Using Drone-Based Orthoimage And Convolutional Neural Network, Yuhan Jiang, Yong Bai, Sisi Han
Civil and Environmental Engineering Faculty Research and Publications
Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of vegetation in front of the “truth” ground. This paper presents a convolutional neural network (CNN) method to identify and locate static vegetation using drone-based high-resolution orthoimages. The developed CNN-based image classification models are supplemented with an overlapping disassembling algorithm to generate , , , or small-patches as model inputs. The training datasets are 10 pairs of orthoimage and label-image dataset. Experimental results show that cropping a high-resolution image into 9,025 …
Staying Connected – Interactive Student Learning During The Covid Transition To Remote Learning, Jeffrey A. Starke, Margaret L. Mcnamara, Richard James Povinelli, Daniela Castillo-Perez, Linda Noelle Brigham
Staying Connected – Interactive Student Learning During The Covid Transition To Remote Learning, Jeffrey A. Starke, Margaret L. Mcnamara, Richard James Povinelli, Daniela Castillo-Perez, Linda Noelle Brigham
Civil and Environmental Engineering Faculty Research and Publications
Background.
How can we transition courses in one week, while maintaining a similar experience for students? This was probably the initial response by faculty across universities as they transitioned to remote learning, mid-semester, in response to the SARS-CoV-2 pandemic. Our approach is supported by the ICAP framework which posits that “as activities move from passive to active to constructive to interactive, students undergo different knowledge-change processes and, as a result, learning will increase.” (Chi and Wylie, 2014)
Purpose/Hypothesis.
How we could foster students’ interactions with course material, instructors, and their peers using collaborative technology and course activities? It was hypothesized …
Global Convergence Of Covid-19 Basic Reproduction Number And Estimation From Early-Time Sir Dynamics, Gabriel G. Katul, Asaad Mrad, Sara Bonetti, Gabriele Manolia, Anthony J. Parolari
Global Convergence Of Covid-19 Basic Reproduction Number And Estimation From Early-Time Sir Dynamics, Gabriel G. Katul, Asaad Mrad, Sara Bonetti, Gabriele Manolia, Anthony J. Parolari
Civil and Environmental Engineering Faculty Research and Publications
The SIR (‘susceptible-infectious-recovered’) formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled Ro=4.5 that describes the early time spread of COVID-19. This value …
The Impact Of Metal Pipe Materials, Corrosion Products, And Corrosion Inhibitors On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell, Yin Wang, Patrick J. Mcnamara
The Impact Of Metal Pipe Materials, Corrosion Products, And Corrosion Inhibitors On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell, Yin Wang, Patrick J. Mcnamara
Civil and Environmental Engineering Faculty Research and Publications
Drinking water distribution systems (DWDS) are unique engineering environments that are important routes for the acquisition and dissemination of antibiotic resistance. Antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in drinking water pose risks to human and environmental health. Metals are known stressors that can select for antibiotic resistance. The objective of this review was to assess the state of knowledge regarding the impact of metal pipe materials, corrosion products, and corrosion inhibitors on the prevalence of antibiotic resistance in DWDS. ARGs and mobile genetic elements (MGEs) have been detected in full-scale DWDS in concentrations ranging from ~ 101 …
Kinetics, Affinity, Thermodynamics, And Selectivity Of Phosphate Removal Using Immobilized Phosphate-Binding Proteins, Kaushik Venkiteshwaran, Erin Wells, Brooke Mayer
Kinetics, Affinity, Thermodynamics, And Selectivity Of Phosphate Removal Using Immobilized Phosphate-Binding Proteins, Kaushik Venkiteshwaran, Erin Wells, Brooke Mayer
Civil and Environmental Engineering Faculty Research and Publications
A phosphate (Pi)-selective adsorption system featuring immobilized Pi-binding proteins (PBP) has recently attracted attention for ultralow Pi removal followed by recovery. This study investigated the adsorption kinetics, affinity, thermodynamics, and selectivity, as well as the effect of pH and temperature on Pi adsorption using immobilized PBP (PBP resin). Immobilizing PBP did not affect its Pi affinity. Kinetic studies at 22 °C and pH 7.1 showed that the PBP resin achieved 95% of its equilibrium capacity within 0.64 ± 0.2 min. The estimated Langmuir affinity constant (KL) was 21 ± 5 …
Estimation Of Construction Site Elevations Using Drone-Based Orthoimagery And Deep Learning, Yuhan Jiang, Yong Bai
Estimation Of Construction Site Elevations Using Drone-Based Orthoimagery And Deep Learning, Yuhan Jiang, Yong Bai
Civil and Environmental Engineering Faculty Research and Publications
Using deep learning to recover depth information from a single image has been studied in many situations, but there are no published articles related to the determination of construction site elevations. This paper presents the research results of developing and testing a deep learning model for estimating construction site elevations using a drone-based orthoimage. The proposed method includes an orthoimage-based convolutional neural network (CNN) encoder, an elevation map CNN decoder, and an overlapping orthoimage disassembling and elevation map assembling algorithm. In the convolutional encoder-decoder network model, the max pooling and up-sampling layers link the orthoimage pixel and elevation map pixel …
Machine Learning-Based Temporary Traffic Control Cost Analysis, Yuhan Jiang, Sisi Han, Yong Bai
Machine Learning-Based Temporary Traffic Control Cost Analysis, Yuhan Jiang, Sisi Han, Yong Bai
Civil and Environmental Engineering Faculty Research and Publications
In a design-bid-build infrastructural project, the agency may use a lump-sum, or unit-price for temporary traffic control (TTC) items, while their cost is hard to estimate. This paper presents the research results of developing a machine learning model of the relationship between the TTC items’ cost with the project total cost and non-TTC items in infrastructural projects. In detail, 163 infrastructural projects’ data were collected for analyzing two research questions: first, the relationship between the TTC items with the project total cost and non-TTC items; second, the relationship between the TTC items’ payment option with the project total cost and …
Rainfall Manipulation Experiments As Simulated By Terrestrial Biosphere Models: Where Do We Stand?, Athanasios Paschalis, Simone Fatichi, Jakob Zscheischler, Philippe Ciais, Michael Bahn, Lena Boysen, Jinfeng Chang, Martin De Kauwe, Marc Estiarte, Daniel Goll, Paul J. Hanson, Anna B. Harper, Enqing Hou, Jaime Kigel, Alan K. Knapp, Klaus S. Larsen, Wei Li, Sebastian Lienert, Yiqi Luo, Patrick Meir, Julia E.M.S. Nabel, Romà Ogaya, Anthony J. Parolari, Changhui Peng, Josep Peñuelas, Julia Pongratz, Serge Rambal, Inger K. Schmidt, Hao Shi, Marcelo Sternberg, Hanqin Tian, Elisabeth Tschumi, Anna Ukkola, Sara Vicca, Nicolas Viovy, Ying-Ping Wang, Zhuonan Wang, Karina Williams, Donghai Wu, Qiuan Zhu
Rainfall Manipulation Experiments As Simulated By Terrestrial Biosphere Models: Where Do We Stand?, Athanasios Paschalis, Simone Fatichi, Jakob Zscheischler, Philippe Ciais, Michael Bahn, Lena Boysen, Jinfeng Chang, Martin De Kauwe, Marc Estiarte, Daniel Goll, Paul J. Hanson, Anna B. Harper, Enqing Hou, Jaime Kigel, Alan K. Knapp, Klaus S. Larsen, Wei Li, Sebastian Lienert, Yiqi Luo, Patrick Meir, Julia E.M.S. Nabel, Romà Ogaya, Anthony J. Parolari, Changhui Peng, Josep Peñuelas, Julia Pongratz, Serge Rambal, Inger K. Schmidt, Hao Shi, Marcelo Sternberg, Hanqin Tian, Elisabeth Tschumi, Anna Ukkola, Sara Vicca, Nicolas Viovy, Ying-Ping Wang, Zhuonan Wang, Karina Williams, Donghai Wu, Qiuan Zhu
Civil and Environmental Engineering Faculty Research and Publications
Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model‐data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are …
Cell Surface-Expression Of The Phosphate-Binding Protein Psts: System Development, Characterization, And Evaluation For Phosphorus Removal And Recovery, Faten Hussein, Kaushik Venkiteshwaran, Brooke Mayer
Cell Surface-Expression Of The Phosphate-Binding Protein Psts: System Development, Characterization, And Evaluation For Phosphorus Removal And Recovery, Faten Hussein, Kaushik Venkiteshwaran, Brooke Mayer
Civil and Environmental Engineering Faculty Research and Publications
Simultaneous overabundance and scarcity of inorganic phosphate (Pi) is a critical issue driving the development of innovative water/wastewater treatment technologies that not only facilitate Pi removal to prevent eutrophication, but also recover Pi for agricultural reuse. Here, a cell-surface expressed high-affinity phosphate binding protein (PstS) system was developed, and its Pi capture and release potential was evaluated. E. coli was genetically modified to express PstS on its outer membrane using the ice nucleation protein (INP) as an anchoring motif. Verification of protein expression and localization were performed utilizing SDS-polyacrylamide gel electrophoresis (SDS-PAGE), western blot, and …
Editorial: Water Environmental Research, Brooke Mayer
Editorial: Water Environmental Research, Brooke Mayer
Civil and Environmental Engineering Faculty Research and Publications
No abstract provided.
The State Of Technologies And Research For Energy Recovery From Municipal Wastewater Sludge And Biosolids, Zhongzhe Liu, Brooke Mayer, Kaushik Venkiteshwaran, Saba Seyedi, Arun S.K. Raju, Daniel Zitomer, Patrick J. Mcnamara
The State Of Technologies And Research For Energy Recovery From Municipal Wastewater Sludge And Biosolids, Zhongzhe Liu, Brooke Mayer, Kaushik Venkiteshwaran, Saba Seyedi, Arun S.K. Raju, Daniel Zitomer, Patrick J. Mcnamara
Civil and Environmental Engineering Faculty Research and Publications
Wastewater resource recovery facilities produce wastewater solids that offer potential for energy recovery. This opinion article provides a perspective on state-of-the-art technologies to recover energy from sludge (unstabilized wastewater residual solids) and biosolids (stabilized wastewater solids meeting criteria for application on land). The production of biodiesel fuel is an emerging technology for energy recovery from sludge, whereas advancements in pretreatment technologies have improved energy recovery from anaerobic digestion of sludge. Incineration is an established technology to recover energy from sludge or biosolids. Gasification, and to a greater extent, pyrolysis are emerging technologies well-suited for energy recovery from biosolids. While gasification …
Inelastic Behavior And Seismic Design Of Multistory Chevron-Braced Frames With Yielding Beams, Charles W. Roeder, Andrew D. Sen, Hayato Asada, Sara M. Ibarra, Dawn E. Lehman, Jeffrey W. Berman, Keh-Chyuan Tsai, Ching-Yi Tsai, An-Chien Wu, Kung-Juin Wang, Ruyue Liu
Inelastic Behavior And Seismic Design Of Multistory Chevron-Braced Frames With Yielding Beams, Charles W. Roeder, Andrew D. Sen, Hayato Asada, Sara M. Ibarra, Dawn E. Lehman, Jeffrey W. Berman, Keh-Chyuan Tsai, Ching-Yi Tsai, An-Chien Wu, Kung-Juin Wang, Ruyue Liu
Civil and Environmental Engineering Faculty Research and Publications
Chevron or inverted V-braced frames offer numerous architectural and structural advantages, but the current special concentrically braced frame (SCBF) seismic-design requirements in the American Institute of Steel Construction (AISC) Seismic Provisions for Structural Steel Buildings lead to deep, heavy chevron beams; as a result, few chevron SCBFs are built today. Recent research on single-story chevron SCBFs demonstrated that beam yielding can be advantageous at higher demand levels, and design for large, inelastic unbalanced brace-force demands may still result in acceptable seismic performance. However, this prior research did not consider the response of multistory frames. In particular, questions remain as to …
Removal Of Estrogenic Compounds From Water Via Energy Efficient Sequential Electrocoagulation-Electrooxidation, Emily K. Maher, Kassidy N. O'Malley, Michael Dollhopf, Brooke K. Mayer, Patrick J. Mcnamara
Removal Of Estrogenic Compounds From Water Via Energy Efficient Sequential Electrocoagulation-Electrooxidation, Emily K. Maher, Kassidy N. O'Malley, Michael Dollhopf, Brooke K. Mayer, Patrick J. Mcnamara
Civil and Environmental Engineering Faculty Research and Publications
The purpose of this study was to investigate energy reduction using electrocoagulation (EC) followed by electrooxidation (EO) targeting initial removal of dissolved organic carbon (DOC) during EC and subsequent removal of estrogenic compounds in EO. EC offers benefits over conventional coagulation such as in situ generation of coagulant but is not practical for removing estrogenic compounds. Advanced oxidation processes, including EO, can effectively remove micropollutants such as estrogenic compounds but are hindered by the presence of bulk organic matter. This study investigated four estrogenic compounds from the U.S. EPA's Contaminant Candidate List: estrone (E1), 17β-estradiol (E2), estriol (E3), and 17α-ethynylestradiol …
Benzalkonium Chloride Alters Phenotypic And Genotypic Antibiotic Resistance Profiles In A Source Water Used For Drinking Water Treatment, Katherine R. Harrison, Anthony D. Kappell, Patrick J. Mcnamara
Benzalkonium Chloride Alters Phenotypic And Genotypic Antibiotic Resistance Profiles In A Source Water Used For Drinking Water Treatment, Katherine R. Harrison, Anthony D. Kappell, Patrick J. Mcnamara
Civil and Environmental Engineering Faculty Research and Publications
Antibiotic resistance is a major public health concern. Triclosan is an antimicrobial compound with direct links to antibiotic resistance that was widely used in soaps in the U.S. until its ban by the U.S. Food and Drug Administration. Benzalkonium chloride (BAC), a quaternary ammonium compound, has widely replaced triclosan in soaps marketed as an antibacterial. BAC has been detected in surface waters and its presence will likely increase following increased use in soap products. The objective of this study was to determine the effect of BAC on relative abundance of antibiotic resistance in a bacterial community from a surface water …
Behavior Of Circular Ice-Filled Self-Luminous Frp Tubular Stub Columns Under Axial Compression, Yanlei Wang, Guipeng Chen, Baolin Wan, Gaochuang Cai, Yiwen Zhang
Behavior Of Circular Ice-Filled Self-Luminous Frp Tubular Stub Columns Under Axial Compression, Yanlei Wang, Guipeng Chen, Baolin Wan, Gaochuang Cai, Yiwen Zhang
Civil and Environmental Engineering Faculty Research and Publications
This paper proposes an innovative ice-filled self-luminous fiber-reinforced polymer (FRP) tubular (IFSFT) column for temporary structures in cold regions. The proposed column possesses a good combination of the advantages of FRP tube and natural ice, as well as provides itself with aesthetic features or other service functions due to the self-luminous feature of the outer FRP tube in darkness. This paper presents an experimental study on tensile and luminance properties of FRP laminates modified with self-luminous powders, and axial compressive behavior of circular IFSFT stub columns and ice-filled FRP tubular (IFFT) stub columns. Experimental results indicate that the addition of …
Structural And Environmental Impact Of New-Generation Wide-Base Tires In New Brunswick, Canada, Izak M. Said, Jaime Hernandez, Seunggu Kang, Imad L. Al-Qadi
Structural And Environmental Impact Of New-Generation Wide-Base Tires In New Brunswick, Canada, Izak M. Said, Jaime Hernandez, Seunggu Kang, Imad L. Al-Qadi
Civil and Environmental Engineering Faculty Research and Publications
The loading and environmental impacts of new-generation wide-base tires (NG-WBT) and dual tire assemblies (DTA) on typical asphalt concrete (AC) pavement sections of New Brunswick, Canada were evaluated using finite element method (FEM) analysis and life-cycle assessment. The impact of steering wheel was not considered in this study. The analysis considered realistic material models and loading conditions (i.e. AC viscoelastic characteristics and measured three-dimensional nonuniform tire–pavement contact loads). Predicted critical pavement responses were used in transfer functions to determine potential pavement damage. The NG-WBT loading resulted in greater critical pavement responses compared to that of DTA, especially near the surface …
Liana Abundance And Diversity Increase With Rainfall Seasonality Along A Precipitation Gradient In Panama, Anthony J. Parolari, Kassandra Paul, Aaron H. Griffing, Richard Condit, Ronaldo Perez, Salomón Aguilar, Stefan A. Schnitzer
Liana Abundance And Diversity Increase With Rainfall Seasonality Along A Precipitation Gradient In Panama, Anthony J. Parolari, Kassandra Paul, Aaron H. Griffing, Richard Condit, Ronaldo Perez, Salomón Aguilar, Stefan A. Schnitzer
Civil and Environmental Engineering Faculty Research and Publications
In tropical regions, rainfall gradients often explain the abundance and distribution of plant species. For example, many tree and liana species adapted to seasonal drought are more abundant and diverse in seasonally-dry forests, characterized by long periods of seasonal water deficit. Mean annual precipitation (MAP) is commonly used to explain plant distributions across climate gradients. However, the relationship between MAP and plant distribution is often weak, raising the question of whether other seasonal precipitation patterns better explain plant distributions in seasonally-dry forests. In this study, we examine the relationship between liana abundance and multiple metrics of seasonal and annual rainfall …