首页期刊导航|Journal of structural engineering
期刊信息/Journal information
Journal of structural engineering
American Society of Civil Engineers
Journal of structural engineering

American Society of Civil Engineers

月刊

0733-9445

Journal of structural engineering/Journal Journal of structural engineeringSCIISTPAHCI
正式出版
收录年代

    Estimation of Fatigue Parameters and Life Prediction for Orthotropic Steel Deck Based on Reverse Markov Theory

    Jian GuoXiongwei ZhangYuhao Cui
    1.1-1.9页
    查看更多>>摘要:Abstract Orthotropic steel deck (OSD) is a widely used lightweight steel structure known for its high load-bearing capacity. However, it is susceptible to cracking, particularly in locations that exhibit structural degradation. In this paper, the reverse Markov method is adopted to identify material parameters and predict the fatigue life of rib-to-rib welds with longitudinal rib-embedded segments in OSD. The structural damage is categorized into five states based on the crack depth, and its state probability distribution and state transfer probability matrix are determined by combining the crack characteristics and service life. This enables the prediction of the crack propagation process during the service life. Then the material parameters C and m can be calculated by substituting the annual crack growth into Paris’ law and combining it with the S-N curve. To illustrate the application of the method, a case study was conducted on the steel box girder of the Xihoumen Bridge. The results indicate that parameter C follows a lognormal distribution with a mean value of 1.90×10−9  MPa−3·m−1/2, while parameter m is determined as 3. Compared with the S-N curve obtained from the test, the calculated S-N curve indicates a fatigue life of approximately 43 years for the welding detail, which aligns much better with the actual performance.

    Modeling by Altering Parameter Values during Time-Dependent Finite-Element Simulations

    Kevin R. MackieMichael H. Scott
    1.1-1.11页
    查看更多>>摘要:Abstract Finite element software, particularly software with contributions from many developers, often contain models with heavily duplicated code with only minor differences in parameter values and state determination. The lack of new fundamental behavior in duplicated models indicates that the more complex model behavior can be derived from a handful of fundamental mechanistic “building blocks.” While modular, object-oriented programming can encapsulate the basic building blocks of models, using parameters to control analysis and model behaviors at run-time can also mitigate unnecessary code duplication. This modeler-in-the-loop parameterization approach can cover a wide range of behavior, including thermal loading response, long-term creep, gapping, and viscoelasticity, all with minimal code duplication and wide-ranging extensions. The efficient reuse of existing models lowers barriers to implementing new behaviors, allowing modelers to focus on behaviors instead of implementation details and maintenance of unnecessarily duplicated code.

    Estimation of Fatigue Parameters and Life Prediction for Orthotropic Steel Deck Based on Reverse Markov Theory

    Jian GuoXiongwei ZhangYuhao Cui
    1.1-1.9页
    查看更多>>摘要:Abstract Orthotropic steel deck (OSD) is a widely used lightweight steel structure known for its high load-bearing capacity. However, it is susceptible to cracking, particularly in locations that exhibit structural degradation. In this paper, the reverse Markov method is adopted to identify material parameters and predict the fatigue life of rib-to-rib welds with longitudinal rib-embedded segments in OSD. The structural damage is categorized into five states based on the crack depth, and its state probability distribution and state transfer probability matrix are determined by combining the crack characteristics and service life. This enables the prediction of the crack propagation process during the service life. Then the material parameters C and m can be calculated by substituting the annual crack growth into Paris’ law and combining it with the S-N curve. To illustrate the application of the method, a case study was conducted on the steel box girder of the Xihoumen Bridge. The results indicate that parameter C follows a lognormal distribution with a mean value of 1.90×10−9  MPa−3·m−1/2, while parameter m is determined as 3. Compared with the S-N curve obtained from the test, the calculated S-N curve indicates a fatigue life of approximately 43 years for the welding detail, which aligns much better with the actual performance.

    Modeling by Altering Parameter Values during Time-Dependent Finite-Element Simulations

    Kevin R. MackieMichael H. Scott
    1.1-1.11页
    查看更多>>摘要:Abstract Finite element software, particularly software with contributions from many developers, often contain models with heavily duplicated code with only minor differences in parameter values and state determination. The lack of new fundamental behavior in duplicated models indicates that the more complex model behavior can be derived from a handful of fundamental mechanistic “building blocks.” While modular, object-oriented programming can encapsulate the basic building blocks of models, using parameters to control analysis and model behaviors at run-time can also mitigate unnecessary code duplication. This modeler-in-the-loop parameterization approach can cover a wide range of behavior, including thermal loading response, long-term creep, gapping, and viscoelasticity, all with minimal code duplication and wide-ranging extensions. The efficient reuse of existing models lowers barriers to implementing new behaviors, allowing modelers to focus on behaviors instead of implementation details and maintenance of unnecessarily duplicated code.

    Assessment of End Tower Response to Downburst Wind Loads: Experimental and Numerical Studies

    Abdelrahman AhmedAshraf El Damatty
    1.1-1.14页
    查看更多>>摘要:Abstract Natural hazards pose a significant threat to community resilience by disrupting power distribution systems, leading to widespread and frequent power outages. End towers are critical structures in a transmission line system that should contain the cascade failure of the towers from progressing along the line. Previous research has extensively investigated the behavior of tangent towers, which are the typical supporting towers along the line, under extreme wind loads. To the best of the authors’ knowledge, this study is the first to assess the effect of downburst loads on end towers numerically and experimentally. An aeroelastic test is carried out at the Wind Engineering, Energy and Environment (WindEEE) Research Institute on a 1:65 model of a transmission line that includes an end tower and two tangent towers. The transmission line is subjected to two simulated downbursts having different jet velocities, while considering different locations of the downburst relative to the end tower. The critical downburst configurations that cause the maximum transverse and longitudinal base shear force for the end tower are identified. Furthermore, the experimental data are used to investigate the dynamic amplification factor of the end tower under downburst loads. Finite element analysis of the tested line is conducted under the simulated downburst loads to assess the adequacy of the ASCE-74 provisions in calculating the downburst loads for end towers.

    A Framework to Guide Performance-Based Assessment of Buildings Following Extreme Events

    Amir SafieyDavid RouecheBrandon RittelmeyerTracy Kijewski-Correa...
    1.1-1.17页
    查看更多>>摘要:Abstract Following an extreme event, there is a brief window of opportunity to collect crucial data essential for developing valuable insights on the built environment’s performance. Recent investments in postevent performance assessments have significantly expanded the research community’s capacity to gather such perishable data. To enhance structural performance in future extreme events, there is a pressing need to explicitly connect these data with established performance metrics, e.g., economic loss. In response, the present study introduces a post-extreme-event performance assessment framework. This framework aims to streamline the acquisition of perishable data on building performance by illuminating which data should be prioritized in the field to inform targeted performance and/or functionality metrics. The study focuses on three key efforts: (1) inventorying the perishable data necessary to estimate typical performance metrics like economic loss and unsafe placarding; (2) developing transfer functions that enable the conversion of perishable data collected during post-extreme-event assessments into these performance/functionality metrics; and (3) downscaling the universe of perishable data through sensitivity analysis to optimize the efficient collection of field data to enable objective assignment of targeted performance metrics. Central to the sensitivity analysis is the development of performance metric/damage state emulators—fault trees that assess performance metrics using rule-based procedures that can be applied to the perishable data commonly collected in the field. This paper demonstrates the operationalization of the proposed framework using commonly used platforms for seismic and wind hazards. The framework is applied to a testbed in the Caribbean islands, showcasing its extensibility to multiple hazards and actual data collected in Puerto Rico as well as the US Virgin Islands after 2017’s Hurricane Maria and in Puerto Rico’s 2020 earthquakes.

    Seismic Response and Train-Running Safety of Two-Story Reinforced Concrete Viaduct with Seismically Repaired Middle Beams

    Keita UemuraKazuki KusakaYoshikazu Takahashi
    1.1-1.15页
    查看更多>>摘要:Abstract On March 16, 2022, a magnitude 7.4 earthquake, hereinafter referred to as the 2022 Fukushima EQ, struck off the coast of Fukushima Prefecture. The 2022 Fukushima EQ caused the derailment of a Tohoku Shinkansen bullet train and inflicted damage on seismically repaired middle beams of a two-story reinforced concrete (RC) viaduct. This study evaluated the seismic performance and train-running safety of a two-story RC viaduct, specifically focusing on those with seismically repaired middle beams, using incremental dynamic analysis. To evaluate the impact of seismic repairs on train-running safety, we adopted a method that calculates the spectral intensity (SI) of the acceleration response time history at the top of the viaduct during seismic events. This study defines the SI value derived from the acceleration response at the top of the viaduct as SItop, distinguishing it from the commonly used SI value, which describes the intensity of seismic waves. The numerical model representing the as-built condition of the viaduct was labeled the “As-built Viaduct Model,” while the model featuring a repaired middle beam was termed the “Repaired Viaduct Model.” It should be noted that the aim of this study is not to determine the cause of the bullet train derailment in the 2022 Fukushima EQ, but rather to assess the impact of repairing middle beams on train-running safety on two-story RC viaducts. The incremental dynamic analysis revealed substantial differences in maximum displacement values within a response drift range below 0.01 between the As-built Viaduct Model and the Repaired Viaduct Model. However, the repair of the middle beams did not significantly affect the ultimate behavior of the two-story RC viaducts. Regarding train-running safety, the SItop value of the Repaired Viaduct Model consistently exceeded those from the As-Built Viaduct Model. In some instances, the SItop value increased by approximately 1.5 times due to the repair of the middle beam. Notably, in many cases, the disparity in SItop values between the two models became more pronounced as it approached the design limit value. Therefore, the alterations in dynamic response of two-story RC viaducts due to the seismic repairs on middle beams could significantly influence train-running safety.

    Assessment of End Tower Response to Downburst Wind Loads: Experimental and Numerical Studies

    Abdelrahman AhmedAshraf El Damatty
    1.1-1.14页
    查看更多>>摘要:Abstract Natural hazards pose a significant threat to community resilience by disrupting power distribution systems, leading to widespread and frequent power outages. End towers are critical structures in a transmission line system that should contain the cascade failure of the towers from progressing along the line. Previous research has extensively investigated the behavior of tangent towers, which are the typical supporting towers along the line, under extreme wind loads. To the best of the authors’ knowledge, this study is the first to assess the effect of downburst loads on end towers numerically and experimentally. An aeroelastic test is carried out at the Wind Engineering, Energy and Environment (WindEEE) Research Institute on a 1:65 model of a transmission line that includes an end tower and two tangent towers. The transmission line is subjected to two simulated downbursts having different jet velocities, while considering different locations of the downburst relative to the end tower. The critical downburst configurations that cause the maximum transverse and longitudinal base shear force for the end tower are identified. Furthermore, the experimental data are used to investigate the dynamic amplification factor of the end tower under downburst loads. Finite element analysis of the tested line is conducted under the simulated downburst loads to assess the adequacy of the ASCE-74 provisions in calculating the downburst loads for end towers.

    A Framework to Guide Performance-Based Assessment of Buildings Following Extreme Events

    Amir SafieyDavid RouecheBrandon RittelmeyerTracy Kijewski-Correa...
    1.1-1.17页
    查看更多>>摘要:Abstract Following an extreme event, there is a brief window of opportunity to collect crucial data essential for developing valuable insights on the built environment’s performance. Recent investments in postevent performance assessments have significantly expanded the research community’s capacity to gather such perishable data. To enhance structural performance in future extreme events, there is a pressing need to explicitly connect these data with established performance metrics, e.g., economic loss. In response, the present study introduces a post-extreme-event performance assessment framework. This framework aims to streamline the acquisition of perishable data on building performance by illuminating which data should be prioritized in the field to inform targeted performance and/or functionality metrics. The study focuses on three key efforts: (1) inventorying the perishable data necessary to estimate typical performance metrics like economic loss and unsafe placarding; (2) developing transfer functions that enable the conversion of perishable data collected during post-extreme-event assessments into these performance/functionality metrics; and (3) downscaling the universe of perishable data through sensitivity analysis to optimize the efficient collection of field data to enable objective assignment of targeted performance metrics. Central to the sensitivity analysis is the development of performance metric/damage state emulators—fault trees that assess performance metrics using rule-based procedures that can be applied to the perishable data commonly collected in the field. This paper demonstrates the operationalization of the proposed framework using commonly used platforms for seismic and wind hazards. The framework is applied to a testbed in the Caribbean islands, showcasing its extensibility to multiple hazards and actual data collected in Puerto Rico as well as the US Virgin Islands after 2017’s Hurricane Maria and in Puerto Rico’s 2020 earthquakes.

    Seismic Response and Train-Running Safety of Two-Story Reinforced Concrete Viaduct with Seismically Repaired Middle Beams

    Keita UemuraKazuki KusakaYoshikazu Takahashi
    1.1-1.15页
    查看更多>>摘要:Abstract On March 16, 2022, a magnitude 7.4 earthquake, hereinafter referred to as the 2022 Fukushima EQ, struck off the coast of Fukushima Prefecture. The 2022 Fukushima EQ caused the derailment of a Tohoku Shinkansen bullet train and inflicted damage on seismically repaired middle beams of a two-story reinforced concrete (RC) viaduct. This study evaluated the seismic performance and train-running safety of a two-story RC viaduct, specifically focusing on those with seismically repaired middle beams, using incremental dynamic analysis. To evaluate the impact of seismic repairs on train-running safety, we adopted a method that calculates the spectral intensity (SI) of the acceleration response time history at the top of the viaduct during seismic events. This study defines the SI value derived from the acceleration response at the top of the viaduct as SItop, distinguishing it from the commonly used SI value, which describes the intensity of seismic waves. The numerical model representing the as-built condition of the viaduct was labeled the “As-built Viaduct Model,” while the model featuring a repaired middle beam was termed the “Repaired Viaduct Model.” It should be noted that the aim of this study is not to determine the cause of the bullet train derailment in the 2022 Fukushima EQ, but rather to assess the impact of repairing middle beams on train-running safety on two-story RC viaducts. The incremental dynamic analysis revealed substantial differences in maximum displacement values within a response drift range below 0.01 between the As-built Viaduct Model and the Repaired Viaduct Model. However, the repair of the middle beams did not significantly affect the ultimate behavior of the two-story RC viaducts. Regarding train-running safety, the SItop value of the Repaired Viaduct Model consistently exceeded those from the As-Built Viaduct Model. In some instances, the SItop value increased by approximately 1.5 times due to the repair of the middle beam. Notably, in many cases, the disparity in SItop values between the two models became more pronounced as it approached the design limit value. Therefore, the alterations in dynamic response of two-story RC viaducts due to the seismic repairs on middle beams could significantly influence train-running safety.