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Journal Articles
Stephen Jay Wright, Hannah Stewart, Shishir Sharma, Laura Redmond, Christopher McMahan, Matthew Castanier
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031209.
Paper No: RISK-24-1078
Published Online: February 10, 2025
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031208.
Paper No: RISK-24-1061
Published Online: February 10, 2025
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 1 Diesel engine finite element model [ 28 ] More about this image found in Diesel engine finite element model [ 28 ]
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 2 Underside of piston model with 54 output locations shown More about this image found in Underside of piston model with 54 output locations shown
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 3 Convergence study on grid density for six experimental data points. A case with discrepancy added to the data is shown with diagonal stripes, and a case without discrepancy in the data is shown with dots. The bold horizontal line represents the true value used to generate the simulated data... More about this image found in Convergence study on grid density for six experimental data points. A case ...
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 4 Convergence study on grid density for 54 experimental data points. A case with discrepancy added to the data is shown with diagonal stripes, and a case without discrepancy in the data is shown in with dots. The bold horizontal line represents the true value used to generate the simulated da... More about this image found in Convergence study on grid density for 54 experimental data points. A case w...
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 5 Posterior distribution, six data points. The true value used to generate the simulated data is shown as the black vertical line. More about this image found in Posterior distribution, six data points. The true value used to generate th...
Image
in An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 6 Posterior distribution, 54 data points. The true value used to generate the simulated data is shown as the black vertical line. More about this image found in Posterior distribution, 54 data points. The true value used to generate the...
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 1 Active learning Kriging-based reliability analysis More about this image found in Active learning Kriging-based reliability analysis
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 2 Flowchart of fatigue reliability analysis More about this image found in Flowchart of fatigue reliability analysis
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 3 Three-dimensional model of the aero-engine gear and its single-tooth model: ( a ) three-dimensional model and ( b ) parametric single-tooth model More about this image found in Three-dimensional model of the aero-engine gear and its single-tooth model:...
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 4 Refined mesh division of the aero-engine gear More about this image found in Refined mesh division of the aero-engine gear
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 5 Contact pair and revolute pair configuration of the aero-engine gear: ( a ) contact pair configuration and ( b ) revolute pair configuration More about this image found in Contact pair and revolute pair configuration of the aero-engine gear: ( a )...
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 6 S – N curve More about this image found in S – N curve
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 7 Finite element simulation results of the aero-engine gear More about this image found in Finite element simulation results of the aero-engine gear
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 8 Iterative process of sample points in the series system More about this image found in Iterative process of sample points in the series system
Image
in A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: February 10, 2025
Fig. 9 Predicted failure probability of the series system More about this image found in Predicted failure probability of the series system
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1085
Published Online: February 8, 2025
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1076
Published Online: February 8, 2025
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1089
Published Online: February 8, 2025
1
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Limit-State Function Sensitivity under Epistemic Uncertainty: A Convex Model Approach
Haodong Zhao; Changcong Zhou; Qi Chang; Haotian Shi; Marcos A. Valdebenito; Matthias G. R. Faes
Article Type: Research-Article
Published: October 12, 2024
Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model
Sangwon Lee; Taro Yaoyama; Yuma Matsumoto; Takenori Hida; Tatsuya Itoi
Article Type: Research-Article
Published: October 09, 2024
From Impact to Control: Inertially Amplified Friction Bearings
Sudip Chowdhury, Ph.D.; Arnab Banerjee, Ph.D.; Sondipon Adhikari, Ph.D.
Article Type: Research-Article
Published: October 09, 2024
Investigating the Evolution Path of Urban Natural Gas Pipeline Accidents Using a Complex Network Approach
Xinhong Li, Ph.D.; Xin Ning; Jie Ma; Ziyue Han
Article Type: Technical Notes
Published: October 07, 2024
Near-Fault Earthquake-Induced Vibration Control of a Supertall Benchmark Building Using an Inerter-Assisted Compliant Liquid Damper
Tanmoy Konar; Anupam Das; Aparna Dey Ghosh
Article Type: Research-Article
Published: October 07, 2024
Protocol for the Validation of Models for Regional Risk Analysis
Yun-Chi Yu; Neetesh Sharma; Paolo Gardoni
Article Type: Research-Article
Published: September 30, 2024
Enhancing Reliability of Construction Contingency Estimation at the Scoping Phase through Historical Cost Data Analysis
Taewoo Ko; Chau Le; H. David Jeong; Kunhee Choi
Article Type: Research-Article
Published: September 30, 2024
Seismic Control and Performance Assessment of Isolated Bridges Using Integration of Negative Stiffness and Inerter-Based Supplemental Control Devices
Naqeeb Ul Islam; R. S. Jangid
Article Type: Research-Article
Published: September 26, 2024
Advantages and Limitations of Bayesian Approaches to Decision-Making in Construction Management: A Critical Review (1988–2023)
Guillermo Mejía, Ph.D.; Jaime A. Gutiérrez-Prada; Oscar H. Portilla-Carreño; Jonathan Soto-Paz, Ph.D.
Article Type: Review Articles
Published: September 26, 2024
Short-Term Forecasting of Transit Travel Demand: A Customized Relevance Vector Machine Model
Chong Yang, Ph.D.; Yang Li; Wenzhi Yin, Ph.D.; Xiaowei Shi, Ph.D.
Article Type: Research-Article
Published: September 25, 2024
Intelligent Landfill Slope Monitoring System and Data Analysis: Case Study for a Landfill Slope in Shenzhen, China
Haoyu Lin; Junchao Li; Jiwu Lan; Shijin Dai; Jianqun Jiang; Yunmin Chen
Article Type: Case Studies
Published: September 24, 2024
Analysis of the Influence of Rolling Motion on the ROPAX Vessel with Firewater Accumulation
Honggui Wang; Huseyn Shukurov; Yuan Shu; Zhaolin Wu; Xinjian Wang; Jiajun Sang; Biao Wang
Article Type: Research-Article
Published: September 18, 2024
Performance Assessment of Lead Rubber–Isolated Liquid Storage Tanks with Clutching Inertial Systems
Ketan Narayan Bajad; Radhey Shyam Jangid
Article Type: Research-Article
Published: September 18, 2024
Robust Modeling of Earthquake Catastrophe Risk for Insurance: An Integrated Approach Incorporating Active Faults and an Epidemic-Type Model
Emmanouil Louloudis, Ph.D.; Alexandros Zimbidis, Ph.D.
Article Type: Research-Article
Published: August 30, 2024
Tracing the Factors Influencing Learning from Incidents Behavior in the Construction Industry: Based on a Complex Systems Perspective
Lingna Lin; Jiacheng Zhong
Article Type: Research-Article
Published: August 26, 2024
Stochastic Evaluation of Railway Track Buckling Using Monte-Carlo Simulations
Dan Agustin; Qing Wu, Ph.D.; Maksym Spiryagin, Ph.D.; Colin Cole, Ph.D.; Esteban Bernal, Ph.D.
Article Type: Research-Article
Published: August 24, 2024
Optimum Design of Hybrid Base Isolation and Tuned Liquid Damper Systems for Structures under Near-Fault Ground Motions
Ayla Ocak; Gebrail Bekdaş; Sinan Melih Nigdeli
Article Type: Research-Article
Published: August 24, 2024
Bayesian Finite-Element Model Updating of Bridges Considering Boundary Condition Uncertainties
Shu-Han Yang; Ting-Hua Yi; Chun-Xu Qu; Song-Han Zhang, Ph.D.; Hong-Nan Li
Article Type: Research-Article
Published: August 16, 2024
Nondeterministic Kriging for Probabilistic Systems with Mixed Continuous and Discrete Input Variables
Jayasekara Jayasekara; Sabarethinam Kameshwar, Ph.D.
Article Type: Research-Article
Published: August 14, 2024
Navigation Decision-Making Method of Complex Multitype Ships’ Routing Waters
Deqing Yu; Yixiong He; Dian Lyu; Jinlai Liu; Xingya Zhao; Liwen Huang
Article Type: Research-Article
Published: August 07, 2024