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    Model Validation Methods for Multiple Correlated Responses via Covariance-Overlap Based Distance 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 004:;page 041401-1
    Author(s): Hu, Jiexiang; Jiang, Ping; Zhou, Qi; McKeand, Austin; Choi, Seung-Kyum
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation methods have been widely used in engineering design to provide a quantified assessment of the agreement between simulation predictions and experimental observations. For the validation of simulation models ...
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    A Multi-Fidelity Bayesian Optimization Approach for Constrained Multi-Objective Optimization Problems 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 007:;page 71702-1
    Author(s): Lin, Quan; Hu, Jiexiang; Zhou, Qi; Shu, Leshi; Zhang, Anfu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a multi-fidelity Bayesian optimization approach is presented to tackle computationally expensive constrained multiobjective optimization problems (MOPs). The proposed approach consists of a three-stage ...
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    A Dynamic Equilibrium–Based Damage Identification Method Free of Structural Baseline Parameters: Experimental Validation in a Two-Dimensional Plane Structure 

    Source: Journal of Aerospace Engineering:;2018:;Volume ( 031 ):;issue: 006
    Author(s): Xu Hao;Zhou Qi;Cao Maosen;Su Zhongqing;Wu Zhanjun
    Publisher: American Society of Civil Engineers
    Abstract: A damage identification method named the pseudoexcitation (PE) approach was established previously, the principle of which resides on local examination of perturbation of structural dynamic equilibrium conditions. While ...
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    A Sequential Sampling Approach for Multi-Fidelity Surrogate Modeling-Based Robust Design Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111703
    Author(s): Lin, Quan;Zhou, Qi;Hu, Jiexiang;Cheng, Yuansheng;Hu, Zhen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy. Sequential sampling strategies have been investigated to ...
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    Adaptive Robot Motion Planning for Smart Manufacturing Based on Digital Twin and Bayesian Optimization-Enhanced Reinforcement Learning 

    Source: Journal of Manufacturing Science and Engineering:;2025:;volume( 147 ):;issue: 005:;page 51009-1
    Author(s): Zhou, Qi; Wu, Jin; Li, Boyan; Li, Sikai; Feng, Bohan; Liu, Jiangshan; Bi, Youyi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Advanced motion planning is crucial for safe and efficient robotic operations in various scenarios of smart manufacturing, such as assembling, packaging, and palletizing. Compared to traditional motion planning methods, ...
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    Special Section on Probabilistic Digital Twins in Additive Manufacturing 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 003:;page 30301-1
    Author(s): Wang, Zequn; Hu, Zhen; Ki, Moon Seung; Zhou, Qi; Huang, Hong-Zhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) has made enormous progress over the past decade, as it is capable of producing complex parts with significantly fewer fabrication constraints compared with existing manufacturing technologies ...
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    Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 004:;page 41012
    Author(s): Xie, Tingli; Jiang, Ping; Zhou, Qi; Shu, Leshi; Zhang, Yahui; Meng, Xiangzheng; Wei, Hua
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: There are a large number of real-world engineering design problems that are multi-objective and multiconstrained, having uncertainty in their inputs. Robust optimization is developed to obtain solutions that are optimal ...
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    Performance Evaluation of a Smart Mobile Air Temperature and Humidity Sensor for Characterizing Intracity Thermal Environment 

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 010:;page 1891
    Author(s): Cao, Chang;Yang, Yichen;Lu, Yang;Schultze, Natalie;Gu, Pingyue;Zhou, Qi;Xu, Jiaping;Lee, Xuhui
    Publisher: American Meteorological Society
    Abstract: Heat stress caused by high air temperature and high humidity is a serious health concern for urban residents. Mobile measurement of these two parameters can complement weather station observations because of its ability ...
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    Experimental Study on Creep Behavior in Oedometer Tests of Reconstituted Soft Clays 

    Source: International Journal of Geomechanics:;2019:;Volume ( 019 ):;issue: 003
    Author(s): Zilong Wu; Yongfeng Deng; Yujun Cui; Annan Zhou; Qi Feng; Haochen Xue
    Publisher: American Society of Civil Engineers
    Abstract: The creep behavior of soft clays is essential in evaluating the long-term deformation of foundations. Because this behavior of naturally deposited clays is very complex as a result of their structures, loading history, and ...
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