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Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1061
Published Online: January 18, 2025
Journal Articles
Accepted Manuscript
Stephen Wright, Hannah Stewart, Shishir Sharma, Laura Redmond, Christopher McMahan, Matthew Castanier
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1078
Published Online: January 18, 2025
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1088
Published Online: January 2, 2025
Journal Articles
Accepted Manuscript
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1073
Published Online: December 24, 2024
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011107.
Paper No: RISK-24-1060
Published Online: December 9, 2024
Journal Articles
Antonios Kamariotis, Konstantinos Vlachas, Vasileios Ntertimanis, Ioannis Koune, Alice Cicirello, Eleni Chatzi
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011108.
Paper No: RISK-24-1066
Published Online: December 9, 2024
Journal Articles
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 010301.
Paper No: RISK-24-1101
Published Online: December 9, 2024
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 1 High-level representation of a monitored dynamical system. S represents a physical engineering system subjected to an input u ( t ), while being exposed to disturbances d ( t ) and deterioration processes h ( t ). The system produces an output y ( t ), a subset of which is usually mon... More about this image found in High-level representation of a monitored dynamical system. S represents a...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 2 Illustration of the infiltration of the classes or our defined uncertainty taxonomy in the essential representation of a monitored dynamical system, as portrayed in Fig. 5 . The defined classes include input uncertainty, model form uncertainty, model parameter/variable uncertainty, measure... More about this image found in Illustration of the infiltration of the classes or our defined uncertainty ...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 3 Categorization of purely data-driven system methods for damage identification, organized according to the domain the method operates in, the method class, and the specific feature that is produced to serve for damage identification. This figure is adapted from Ref. [ 64 ]. This table overvi... More about this image found in Categorization of purely data-driven system methods for damage identificati...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 4 Graphical representation of the two-story frame with annotation of the hysteretic (nonlinear) link positions, as well as the positions of acceleration sensors that are assumed to be deployed for the state estimation/virtual sensing task of Sec. 4.4 More about this image found in Graphical representation of the two-story frame with annotation of the hyst...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 5 Illustration of the nonlinear hysteretic mechanism that is applied for each link element, according to its DOF. The link elements are noticeable through the additional nodes (white circles) near the end of each beam/column element. The arrows indicate the local coordinate system assumed for... More about this image found in Illustration of the nonlinear hysteretic mechanism that is applied for each...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 6 Welch-based coherence function estimates (Monte Carlo experiments; LTI frame, point O2): ( a ) along x -axis and ( b ) along y -axis More about this image found in Welch-based coherence function estimates (Monte Carlo experiments; LTI fram...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 7 Welch-based FRF estimates (Monte Carlo experiments; LTI frame, point O2): ( a ) magnitude along x -axis, ( b ) phase along x -axis, ( c ) magnitude along y -axis, and ( d ) phase along y -axis More about this image found in Welch-based FRF estimates (Monte Carlo experiments; LTI frame, point O2): (...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 8 ARX model order estimation (Monte Carlo experiments; LTI frame, point O2. The squares indicate mean value and the vertical bars standard deviation): ( a ) along x -axis and ( b ) along y -axis. More about this image found in ARX model order estimation (Monte Carlo experiments; LTI frame, point O2. T...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 9 ARX model parameter vectors (Monte Carlo experiments; LTI frame, point O2. The squares indicate mean value and the vertical bars standard deviation): ( a ) ARX x ( 30 , 30 , 0 ) models and ( b ) ARX y ( 42 , 42 , 0 ) models. More about this image found in ARX model parameter vectors (Monte Carlo experiments; LTI frame, point O2. ...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 10 ARX-estimated vibration modes (Monte Carlo experiments; LTI frame, point O2): ( a ) natural frequency along x -axis, ( b )modal damping ratio along x -axis, ( c ) natural frequency along y -axis, and ( d ) modal damping ratio along y -axis More about this image found in ARX-estimated vibration modes (Monte Carlo experiments; LTI frame, point O2...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 11 AR-estimated vibration modes (Monte Carlo experiments; LTI frame, point O2): ( a ) natural frequency along x -axis and ( b ) modal damping ratio along x -axis More about this image found in AR-estimated vibration modes (Monte Carlo experiments; LTI frame, point O2)...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 12 Temperature and modulus data for the lineat time variant (LTV) frame: ( a ) temperature time-series over the long temporal scale, ( b ) sample (bars) and associated kernel-based (continuous line) PDF estimates, and ( c ) elastic modulus versus temperature More about this image found in Temperature and modulus data for the lineat time variant (LTV) frame: ( a )...
Image
in On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
> ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: December 9, 2024
Fig. 13 Behavior of the first three natural frequencies of the LTV frame: ( a ) versus temperature and ( b ) versus long time-scale More about this image found in Behavior of the first three natural frequencies of the LTV frame: ( a ) ver...
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