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Xiaonan Lai
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Journal Articles

Toward an Online Monitoring of Structural Performance Based on Physics-Informed Hybrid Modeling Method

Xiwang He, Kunpeng Li, Shuo Wang, Xiaonan Lai, Liangliang Yang, Ziyun Kan, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2024, 146(1): 011702.
Paper No: MD-23-1173
https://doi.org/10.1115/1.4063403
Published Online: October 6, 2023
View Article titled, Toward an Online Monitoring of Structural Performance Based on Physics-Informed Hybrid Modeling Method
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Topics: Displacement, Finite element model, Modeling, Physics, Stress, Structural dynamics, Finite element methods, Simulation, Dynamic response, Errors
Journal Articles

MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models

Jianji Li, Shuai Zhang, Pengwei Liang, Xiaonan Lai, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. November 2023, 145(11): 114501.
Paper No: MD-22-1776
https://doi.org/10.1115/1.4062977
Published Online: August 16, 2023
View Article titled, MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models
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Topics: Noise (Sound), Robustness, Weight (Mass), Errors, Dimensions
Journal Articles

A Scalable Digital Twin Framework Based on a Novel Adaptive Ensemble Surrogate Model

Xiaonan Lai, Xiwang He, Yong Pang, Fan Zhang, Dongcai Zhou, Wei Sun, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2023, 145(2): 021701.
Paper No: MD-22-1477
https://doi.org/10.1115/1.4056077
Published Online: November 17, 2022
View Article titled, A Scalable Digital Twin Framework Based on a Novel Adaptive Ensemble Surrogate Model
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Topics: Digital twin, Flow (Dynamics)
Journal Articles

Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model

Xiaonan Lai, Xiwang He, Shuo Wang, Xiaobang Wang, Wei Sun, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. June 2022, 144(6): 064502.
Paper No: MD-21-1157
https://doi.org/10.1115/1.4053606
Published Online: February 15, 2022
View Article titled, Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model
Open the PDF for Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model in another window
Topics: Cranes, Digital twin, Safety, Sensors, Stress
Journal Articles

Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model

Shuo Wang, Xiaonan Lai, Xiwang He, Yiming Qiu, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031703.
Paper No: MD-21-1271
https://doi.org/10.1115/1.4052390
Published Online: October 1, 2021
View Article titled, Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model
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Topics: Computer simulation, Digital twin, Simulation, Stress, Trusses (Building), Visualization, Simulation results, Shapes, Sensors
Journal Articles

Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example

Xiaonan Lai, Shuo Wang, Zhenggang Guo, Chao Zhang, Wei Sun, Xueguan Song
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 071703.
Paper No: MD-20-1644
https://doi.org/10.1115/1.4049861
Published Online: February 5, 2021
View Article titled, Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example
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Topics: Cranes, Sensors, Design, Shapes, Computer simulation, Finite element model, Stress