Article
Construction & Building Technology
Miaomiao Zhang, Guozhi Fu, Xiaoyang Jia, Yuetan Ma, Pawel Andrzej Polaczyk, Baoshan Huang
Summary: The phase angle is a good indicator of the current fatigue condition of asphalt concrete (AC) layers. However, estimating phase angles from drilled core samples is destructive, expensive, and unsuitable for large-scale applications. This study investigated the potential of nondestructive traffic speed deflectometer (TSD) deflection lag as an indicator of pavement fatigue conditions and found a relationship between AC phase angle and TSD deflection lag. The lag distance can be used to predict the initiation and growth of fatigue cracks in the pavement.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Yingchao Luo, Xiaobing Li, Genqiang Jing, Hongbo Guo, Qihao Yin, Yueying Zhang
Summary: In order to solve the problem of difficult acquisition of actual standard test roads (ASTRs) for evaluating the measuring performance of the Traffic Speed Deflectometer (TSD), a method to construct virtual standard test roads (VSTRs) using in-service roads is proposed in this study. An adaptive construction method for VSTRs is proposed based on the K-means clustering algorithm, and two new indexes CVk and ICSk are introduced to replace traditional indexes such as repeatability and correlation coefficient. The feasibility of evaluating TSD performance based on VSTRs and the new indexes is verified by experiments, showing that the newly constructed VSTRs solve the problem of difficult acquisition of ASTRs and the new indexes achieve an efficient and scientific evaluation of TSD.
Article
Engineering, Civil
Miaomiao Zhang, Guozhi Fu, Yuetan Ma, Rui Xiao, Baoshan Huang
Summary: The traffic speed deflectometer (TSD) is an efficient tool for collecting network-level pavement structural data by conducting deflection surveys at traffic speeds. This study focuses on the correction of traffic speed on pavement deflection, which has rarely been investigated compared to temperature correction. The concept of pseudo temperature is used to evaluate the time (speed) effect on pavement responses, and the effective temperature is introduced to integrate the time and temperature dependence of AC materials for correction purposes. The results suggest that TSD deflections are more sensitive to test temperatures than to test speeds, and the equivalence between speed and temperature depends on the activation energy of the AC material.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Construction & Building Technology
Miaomiao Zhang, Rui Xiao, Yuetan Ma, Xi Jiang, Pawel Andrzej Polaczyk, Baoshan Huang
Summary: The Traffic Speed Deflectometer (TSD) is an efficient tool for network-level pavement structural evaluation, overcoming the limitations of the Falling Weight Deflectometer (FWD) in terms of traffic interruption and testing inefficiency. The raw measurement of TSD is the deflection slope, and this study explores its potential use in assessing the strength of pavement structures, estimating the location of the inflection point, and calculating the lag distance. The TSD deflection and slope are effective in detecting weak asphalt layers and subgrades, but not sensitive to damage to the base layer.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Civil
Miaomiao Zhang, Hongren Gong, Xiaoyang Jia, Xi Jiang, Ning Feng, Baoshan Huang
Summary: Traffic Speed Deflectometer (TSD) overcomes the slow operating speed of the conventional Falling Weight Deflectometer (FWD), but introduces difficulties in estimating the effective structural number (SN). A new approach using TSD measurements to determine SN has been proposed by modifying the AASHTO method.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Engineering, Civil
Shivesh Shrestha, Samer W. Katicha, Gerardo W. Flintsch, Brian K. Diefenderfer
Summary: This paper investigates the possibility of using a traffic speed deflectometer (TSD) for network-level evaluation on bituminous pavements. The study shows that the TSD can replace the falling weight deflectometer (FWD) currently used in the Virginia Department of Transportation Pavement Management System. Additionally, the choice of structural index calculation does not significantly impact the decision-making process.
JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS
(2022)
Article
Construction & Building Technology
Sittampalam Manoharan, Gary Chai, Sanaul Chowdhury
Summary: The performance of roads is influenced by various factors, and the current use of rutting and fatigue cracking data as a substitute for structural data is not effective in reducing costs or improving safety. The introduction of TSD has made data collection more affordable, but the best way to utilize this data is still being determined by road agencies.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Feipeng Xiao, Qian Xiang, Xiangdao Hou, Serji N. Amirkhanian
Summary: The Traffic Speed Deflectometer (TSD) is a reliable tool for evaluating pavement structural conditions by measuring deflection velocity and calculating pavement moduli using different methods. The results from TSD measurements show good correlation with traditional FWD measurements, indicating its promising prospect in pavement structural evaluations. Additionally, the pavement roughness significantly affects TSD measurements.
Article
Green & Sustainable Science & Technology
Matias M. Mendez Larrain, Syed Ashik Ali, Kenneth Hobson, Musharraf Zaman
Summary: Pavement deterioration models are crucial for predicting and maintaining road conditions. This study used Traffic Speed Deflectometer and Fast Falling Weight Deflectometer to evaluate and calibrate models for predicting pavement structural condition.
Article
Computer Science, Interdisciplinary Applications
Martin Scavone, Samer W. Katicha, Gerardo W. Flintsch, Brian K. Diefenderfer
Summary: The traffic speed deflectometer (TSD) is a cost-effective and timely method for collecting network-level deflection data. Basis pursuit (BP) can be used to interpret such data by sparsely decomposing TSD measurements over a given basis. However, BP may result in denoised measurements with false positives or damped amplitude features. This paper presents a solution called reweighed L-1 minimization (RWL1) to address these issues and demonstrates its potential in detecting structurally weak locations within the pavement network.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Article
Engineering, Civil
Ali Morovatdar, Tirupan Mandal, Ali Arabzadeh, Peter Kemp
Summary: The traffic speed deflectometer (TSD) is gaining interest for pavement management practices, allowing continuous collection of deflection data at traffic speed without traffic control. However, limited studies have been conducted in cold regions regarding the potential use of TSD data for pavement structural assessment. This study aimed to bridge this gap by developing a twofold approach to characterize pavement integrity and compare TSD and falling weight deflectometer (FWD) data.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Yang Deng, Meng Zhang, Dong-Ming Feng, Ai-Qun Li
Summary: This study proposes a novel method to estimate the fatigue damage of bridge hangers using support vector machine regression models based on traffic loading data and finite element analysis, eliminating the need for direct stress sensing equipment. The method is validated in fatigue life prediction of hangers on a suspension bridge.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Myeong-Hun Jeong, Tae-Young Lee, Seung-Bae Jeon, Minkyo Youm
Summary: Movement analytics and mobility insights are essential in urban planning and transportation management. In this study, a GRU neural network is used to predict highway speed based on digital tachograph data, outperforming other models in terms of prediction accuracy with lower computational cost. This approach has potential applications in traffic prediction and intelligent transportation systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Miaomiao Zhang, Xiaoyang Jia, Guozhi Fu, Pawel Andrzej Polaczyk, Yuetan Ma, Rui Xiao, Baoshan Huang
Summary: The traffic speed deflectometer (TSD) is preferred for network-level pavement structural evaluation due to its ability to overcome the limitations of the falling weight deflectometer (FWD). However, challenges exist when applying the TSD to routine survey work. This study evaluated the repeatability of TSDs and compared TSD measurements with FWD measurements to identify device-related errors.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Seyed Hooman Ghasemi, Ji Yun Lee
Summary: The paper introduces a reliability-based indicator to assess the expected post-earthquake traffic flow capacity of a highway bridge. By calculating the relationship between the post-earthquake reliability index of a bridge and its traffic flow capacity, the average allowable traffic flow capacity that can be carried by a bridge in the event of an earthquake is determined.
Article
Engineering, Civil
Eugene J. OBrien, Daniel P. McCrum, Muhammad Arslan Khan, Luke J. Prendergast
Summary: This paper proposes a new method to detect multiple scour locations using wavelet-based analysis. By measuring the accelerations at each support point of a multi-span bridge, the method estimates the scour location through frequency-spatial domain transformation and introduces a damage indicator to differentiate healthy and scoured pier locations.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Yifei Ren, Eugene J. OBrien, Daniel Cantero, Jennifer Keenahan
Summary: This study introduces a novel method to determine the apparent profile of the track and detect the condition of railway bridges using sensors on in-service trains. The method involves using data from a batch of trains to find the dynamic properties and speed of the vehicles, and then calculating the moving reference deflection influence line based on the apparent profile to evaluate the bridge's condition.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Sinem Tola, Joaquim Tinoco, Jose C. Matos, Eugene Obrien
Summary: This literature review provides an overview of recent scour detection techniques and approaches, including direct and indirect monitoring as well as machine learning algorithm-based studies. The review outlines the methods, models, characteristics of data, and other input properties, and discusses the advantages and limitations of each approach. Finally, a synthesis of the research is provided with assessments.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Licheng Zhu, Daniel McCrum, Conor Sweeney, Jennifer Keenahan
Summary: For the first time, a full-scale bridge aerodynamic CFD study was conducted on the Queensferry Crossing in the UK. The aim was to accurately simulate the wind field around the bridge. The CFD predictions were validated with field data and demonstrated good potential for practical bridge aerodynamic studies.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2023)
Article
Engineering, Civil
Eugene J. O'Brien, Simon Wilson, Jennifer Keenahan, Yifei Ren
Summary: This paper presents a new method for determining road profile and detecting bridge damage using accelerations from passing vehicles. A Bayesian approach is used to update estimates of the road profile and vehicle properties based on off-bridge data. The results show that this method is effective in quantifying bearing damage and inferring other bridge properties, as well as inferring the levels and locations of local crack damage in a bridge based on simulated measurements.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Engineering, Civil
Longwei Zhang, Eugene J. OBrien, Donya Hajializadeh, Lu Deng, Shiding Yin
Summary: This paper proposes a novel bridge damage identification methodology using simulated rotation measurements. Different bridge segmentation strategies, damage scenarios, and measurement points are considered to demonstrate the detection, localization, and severity quantification capability of the proposed approach. The results indicate that the proposed method can successfully detect and localize damage, and predict the severity of the damage with reasonable accuracy.
JOURNAL OF BRIDGE ENGINEERING
(2023)
Article
Engineering, Civil
Chengjun Tan, Hua Zhao, Eugene J. OBrien, Nasim Uddin, Chul-Woo Kim
Summary: Recently, there has been growing attention towards drive-by bridge structural health monitoring, which involves estimating the bridge's first natural frequency through indirect measurements of passing vehicles due to its low cost and convenience. This paper presents a non-linear time-frequency analysis approach using the second-order synchrosqueezing transform to examine the time-varying nature of frequencies in the vehicle-bridge interaction (VBI) system. The proposed method improves the energy concentration of the time-frequency representations and provides a clear pattern of how the frequencies change.
JOURNAL OF BRIDGE ENGINEERING
(2023)
Article
Oncology
Li Zhu, Qian Zhou
Summary: A major challenge in platinum-based cancer therapy is the management of chemo-resistant tumors, which have unknown epigenetic mechanisms. By analyzing ovarian cancer databases, we found that FZD3, a transmembrane receptor protein, is associated with cisplatin (DDP) resistance and the prognosis of ovarian cancer. Inhibition of FZD3 expression enhances DDP resistance, while TET2 promotes FZD3 transcription through DNA hydroxymethylation. TET2 sensitizes drug-resistant cells to DDP, and its effect is reversed after inhibiting FZD3.
JOURNAL OF CHEMOTHERAPY
(2023)
Editorial Material
Chemistry, Multidisciplinary
Jennifer Keenahan
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Yuxiang Zhang, Conor Sweeney, Philip Cardiff, Fergal Cahill, Jennifer Keenahan
Summary: This study develops full-scale three-dimensional computational fluid dynamics (CFD) simulation models to accurately replicate wind conditions at the Rose Fitzgerald Kennedy Bridge in Ireland. By comparing the calculated wind velocities with the collected data, it is shown that the CFD simulations have relative differences of less than 10% from the measured wind velocities, with a maximum relative difference of only 15% due to the inclusion of bridge and terrain geometry.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-BRIDGE ENGINEERING
(2023)
Editorial Material
Chemistry, Multidisciplinary
Raffaele Zinno, Eugene J. Obrien
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Yuxiang Zhang, Reamonn MacReamoinn, Philip Cardiff, Jennifer Keenahan
Summary: Aerodynamic performance is crucial for the design of long-span bridges. Computational fluid dynamics (CFD) modeling offers a method to investigate this performance during both the design phase and operation of the bridge. This paper presents a framework using open-source software to analyze wind effects on long-span bridges, and validates the methodology with field data from two bridges.
Article
Geosciences, Multidisciplinary
Gary Littler, Mark Coughlan, Jan Majcher, Jennifer Keenahan
Summary: This study uses computational fluid dynamics (CFD) modeling to investigate the interactions between hydro- and sediment dynamics at a shipwreck site. The results of the simulations align well with known areas of erosion and deposition, providing a basis for future scour prediction studies and offshore renewable infrastructure planning.
Article
Education & Educational Research
Jennifer Keenahan, Miguel Casero, Sarah Cotterill, Fiachra O'Loughlin, John O'Sullivan, Shane Donohue, Daniel McCrum, Arturo Gonzalez, Paraic Carroll, Patrick Purcell
Summary: A project to formalize and expand Academic Advising has been implemented at UCD Civil Engineering School. The project aims to train faculty members in advising roles and increase student interaction, leading to long-term benefits. The evaluation of the project showed positive feedback from students, who find these new lines of communication useful and productive.
EDUCATION SCIENCES
(2022)
