Flexural behavior of corroded HPS beams

Peng, Jiawei; Xiao, Linfa; Zhang, Jianren; Cai, C.S.; Wang, Lei

doi:10.1016/j.engstruct.2019.06.006

Cited by 74 publications

(53 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The nation's transportation infrastructural systems are deteriorating [1] under adverse influences from multiple factors, such as corrosion [2,3], aging [4], impact [5,6], and vibration [7], and even with the recent advances in structural health monitoring [8][9][10] and intelligent transportation systems [11,12], traffic crashes still happen. The latest quick facts report from the National Highway Traffic Safety Administration indicates that there were 2,746,000 people injured in 6,452,000 police-reported crashes in 2017 in the USA [13].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Identifying Crash Hotspot Intersections (CHIs) Using Spatial Weights Matrices

2020

View full text Add to dashboard Cite

In this paper we develop a new approach to directly detect crash hotspot intersections (CHIs) using two customized spatial weights matrices, which are the inverse network distance-band spatial weights matrix of intersections (INDSWMI) and the k-nearest distance-band spatial weights matrix between crash and intersection (KDSWMCI). This new approach has three major steps. The first step is to build the INDSWMI by forming the road network, extracting the intersections from road junctions, and constructing the INDSWMI with road network constraints. The second step is to build the KDSWMCI by obtaining the adjacency crashes for each intersection. The third step is to perform intersection hotspot analysis (IHA) by using the Getis–Ord Gi* statistic with the INDSWMI and KDSWMCI to identify CHIs and test the Intersection Prediction Accuracy Index (IPAI). This approach is validated by comparison of the IPAI obtained using open street map (OSM) roads and intersection-related crashes (2008–2017) from Spencer city, Iowa, USA. The findings of the comparison show that higher prediction accuracy is achieved by using the proposed approach in identifying CHIs.

show abstract

Section: Introductionmentioning

confidence: 99%

A New Approach to Identifying Crash Hotspot Intersections (CHIs) Using Spatial Weights Matrices

2020

View full text Add to dashboard Cite

show abstract

“…Civil infrastructures are often operated in environments with adverse factors, such as corrosion [1,2], vibration and fatigue [3,4], impacts [5][6][7][8], seismic excitations [9][10][11], strong wind or hurricane [12], among others, and these adverse factors often result in component and/or structural damages, which should be detected and repaired in time to prevent catastrophic events from happening [13]. Structural health monitoring (SHM) [13,14] and damage detection [14][15][16][17][18] and structural retrofit and repair [19,20] have been developed to address these two issues.…”

Section: Introductionmentioning

confidence: 99%

Uniaxial Compressive Behavior of Concrete Columns Confined with Superelastic Shape Memory Alloy Wires

2020

View full text Add to dashboard Cite

Superelastic shape memory alloy (SMA) exhibits the ability to undergo large deformations before reverting back to its undeformed shape following the removal of the load. This unique property underlies its great potential in the seismic design and retrofitting of structure members. In this paper, superelastic SMA wires were utilized to confine concrete cylinders to enhance their axial compressive behavior. The axial carrying and deformation capacities of SMA-confined concrete cylinders are assessed by uniaxial compression testing on a total of eight SMA-confined concrete columns and one unconfined column. The influence of the amount of SMA and the prestrain level of SMA wires, as well as the reinforcing mode, on the axial carrying and deformation capacity of confined concrete columns were considered. The analysis focuses on the axial carrying capacity and deformation performance of concrete columns reinforced with superelastic SMA under different loading conditions. Based on the experimental data and analysis results, it is found that superelastic SMA wires can increase the axial loading capacity and enhance deformation performance of concrete columns. Under the same loading condition, the ultimate bearing capacity of SMA-confined concrete columns increases as the increasing of the amount of SMA wire. The results of this study verify the effectiveness of superelastic SMA in enhancing the loading capacity and deformation behavior of concrete cylinders.

show abstract

“…Steel structures of various forms are widely used in constructions [1,2], however, with adverse factors such as corrosion [3,4], dynamic loads [5,6], and impacts [7,8], steel structures are subject to damages [9,10]. Carbon fiber reinforced polymer (CFRP) materials are widely used to retrofit or reinforce damaged steel structures [11][12][13] due to their high strength-to-weight ratio, excellent corrosion resistance, and fast and easy installation.…”

Section: Introductionmentioning

confidence: 99%

Detecting Debonding between Steel Beam and Reinforcing CFRP Plate Using Active Sensing with Removable PZT-Based Transducers

Jiang

Deng

et al. 2019

Sensors

View full text Add to dashboard Cite

Carbon fiber reinforced polymer (CFRP) plates are widely used to retrofit or reinforce steel structures, and the debonding damage between the steel structure and the CFRP plate is a typical failure in strengthening steel structures. This paper proposes a new approach to detecting debonding between a steel beam and a reinforcing CFRP plate by using removable lead zirconate titanate (PZT)-based transducers and active sensing. The removable PZT-based transducers are used to implement the active sensing approach, in which one transducer, as an actuator, is used to generate stress wave, and another transducer, as a sensor, is used to detect the stress wave that propagates across the bonding between the steel beam and the reinforcing CFRP plate. The bonding condition significantly influences the received sensor signal, and a wavelet-packet-based energy index (WPEI) is used to quantify the energy of the received signal to evaluate the severity of debonding between the steel beam and the reinforcing CFRP plate. To validate the proposed approach, experimental studies were performed, and two removable PZT-based transducers were designed and fabricated to detect the debonding between a steel beam and the reinforcing CRFP plate. The experimental results demonstrate the feasibility of the proposed method in detecting the debonding between a steel beam and the reinforcing CFRP plate using removable PZT-based transducers.

show abstract

Flexural behavior of corroded HPS beams

Cited by 74 publications

References 29 publications

A New Approach to Identifying Crash Hotspot Intersections (CHIs) Using Spatial Weights Matrices

A New Approach to Identifying Crash Hotspot Intersections (CHIs) Using Spatial Weights Matrices

Uniaxial Compressive Behavior of Concrete Columns Confined with Superelastic Shape Memory Alloy Wires

Detecting Debonding between Steel Beam and Reinforcing CFRP Plate Using Active Sensing with Removable PZT-Based Transducers

Contact Info

Product

Resources

About