Details
| Original language | English |
|---|---|
| Article number | 04017102 |
| Number of pages | 11 |
| Journal | Journal of Bridge Engineering |
| Volume | 22 |
| Issue number | 12 |
| Early online date | 19 Sept 2017 |
| Publication status | Published - Dec 2017 |
Abstract
This study presents a novel approach to simulating the fatigue stress spectra of short- to medium-span bridges under stochastic and dynamic traffic loads. The stochastic traffic load is simulated based on the weigh-in-motion (WIM) measurements of a heavy-duty highway bridge in China, and the dynamic effects are modeled using a vehicle-bridge coupled vibration system. An interpolation RSM is used to approximate the effective stress ranges of a bridge with respect to road roughness conditions, gross vehicle weights, vehicle configurations, and driving speeds. The RSM provides a platform for an efficient spectrum simulation of bridges under stochastic and dynamic traffic loads. A case study of a simply supported T-girder bridge demonstrates the effectiveness and efficiency of the proposed approach. The proposed computational framework provides an effective approach for simulating the fatigue stress spectra for short- to medium-span bridges with WIM data. However, the efficiency of the approach depends on the number of intervals of driving speed and gross vehicle weight in the interpolation RSM. Additionally, overloading control has a considerable influence on the probability density of the high-amplitude stresses in the fatigue stress spectrum. Even a relatively high overloading limit value will considerably increase the fatigue reliability of a bridge. In addition, the numerical results provide a theoretical basis for bridge deck retrofitting and truck overloading control measures.
Keywords
- Fatigue reliability, Fatigue stress spectrum, Response surface method, Road roughness conditions, Stochastic traffic load, Vehicle-bridge interaction, Weigh-in-motion (WIM)
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Journal of Bridge Engineering, Vol. 22, No. 12, 04017102, 12.2017.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Fatigue Stress Spectra and Reliability Evaluation of Short- to Medium-Span Bridges under Stochastic and Dynamic Traffic Loads
AU - Yan, Donghuang
AU - Luo, Yuan
AU - Lu, Naiwei
AU - Yuan, Ming
AU - Beer, Michael
N1 - Funding information: The research was supported by the National Basic Research Program (973 program) of China (Grant 2015CB057706), the National Natural Science Foundation of China (Grant 51678068), the Open Fund of National Joint Engineering Research Laboratory for Long-Term Performance Improvement Technology for Bridges in Southern China (Grant 16BCX02), the Graduate Student Research Innovation Project in Hunan Province (Grant CX2017B460), and Hunan University Innovation Platform Open Fund (Grant 14K005). The opinions, findings, and conclusions expressed in this study are those of the authors and do not necessarily represent the views of the sponsors.
PY - 2017/12
Y1 - 2017/12
N2 - This study presents a novel approach to simulating the fatigue stress spectra of short- to medium-span bridges under stochastic and dynamic traffic loads. The stochastic traffic load is simulated based on the weigh-in-motion (WIM) measurements of a heavy-duty highway bridge in China, and the dynamic effects are modeled using a vehicle-bridge coupled vibration system. An interpolation RSM is used to approximate the effective stress ranges of a bridge with respect to road roughness conditions, gross vehicle weights, vehicle configurations, and driving speeds. The RSM provides a platform for an efficient spectrum simulation of bridges under stochastic and dynamic traffic loads. A case study of a simply supported T-girder bridge demonstrates the effectiveness and efficiency of the proposed approach. The proposed computational framework provides an effective approach for simulating the fatigue stress spectra for short- to medium-span bridges with WIM data. However, the efficiency of the approach depends on the number of intervals of driving speed and gross vehicle weight in the interpolation RSM. Additionally, overloading control has a considerable influence on the probability density of the high-amplitude stresses in the fatigue stress spectrum. Even a relatively high overloading limit value will considerably increase the fatigue reliability of a bridge. In addition, the numerical results provide a theoretical basis for bridge deck retrofitting and truck overloading control measures.
AB - This study presents a novel approach to simulating the fatigue stress spectra of short- to medium-span bridges under stochastic and dynamic traffic loads. The stochastic traffic load is simulated based on the weigh-in-motion (WIM) measurements of a heavy-duty highway bridge in China, and the dynamic effects are modeled using a vehicle-bridge coupled vibration system. An interpolation RSM is used to approximate the effective stress ranges of a bridge with respect to road roughness conditions, gross vehicle weights, vehicle configurations, and driving speeds. The RSM provides a platform for an efficient spectrum simulation of bridges under stochastic and dynamic traffic loads. A case study of a simply supported T-girder bridge demonstrates the effectiveness and efficiency of the proposed approach. The proposed computational framework provides an effective approach for simulating the fatigue stress spectra for short- to medium-span bridges with WIM data. However, the efficiency of the approach depends on the number of intervals of driving speed and gross vehicle weight in the interpolation RSM. Additionally, overloading control has a considerable influence on the probability density of the high-amplitude stresses in the fatigue stress spectrum. Even a relatively high overloading limit value will considerably increase the fatigue reliability of a bridge. In addition, the numerical results provide a theoretical basis for bridge deck retrofitting and truck overloading control measures.
KW - Fatigue reliability
KW - Fatigue stress spectrum
KW - Response surface method
KW - Road roughness conditions
KW - Stochastic traffic load
KW - Vehicle-bridge interaction
KW - Weigh-in-motion (WIM)
UR - http://www.scopus.com/inward/record.url?scp=85029691003&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)BE.1943-5592.0001137
DO - 10.1061/(ASCE)BE.1943-5592.0001137
M3 - Article
AN - SCOPUS:85029691003
VL - 22
JO - Journal of Bridge Engineering
JF - Journal of Bridge Engineering
SN - 1084-0702
IS - 12
M1 - 04017102
ER -