Transmissibility Theory for Structural Health Monitoring: Fundamentals, Algorithms, and Applications
暫譯: 結構健康監測的傳遞性理論：基礎、演算法與應用

Yan, Wang-Ji

Transmissibility Theory for Structural Health Monitoring: Fundamentals, Algorithms, and Applications
  • 出版商: Springer
  • 出版日期: 2026-06-11
  • 售價: $7,640
  • 貴賓價: 9.5 折 $7,258
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 981957594X
  • ISBN-13: 9789819575947
  • 相關分類: 工程數學 Engineering-mathematics

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商品描述

This book provides an in-depth and systematic introduction to transmissibility-based system identification and its role in modern structural health monitoring (SHM). It establishes transmissibility as a paradigm-shifting framework for SHM, advancing beyond traditional input-output and output-only methods to propose a unified output-output paradigm. This innovative approach reduces reliance on excitation measurements or restrictive assumptions such as white noise inputs. Drawing on over 15 years of original research spanning more than 30 high-impact publications by the author, this work delivers new contributions ranging from theoretical advancements in transmissibility's physical/statistical properties to novel identification algorithms and practical SHM applications validated through numerical simulations, laboratory experiments, and field implementations. The detailed exposition of formulations and implementations empowers engineers to apply these concepts directly in practice, while researchers in academia and industry will find inspiration to pursue further investigations in SHM, including modal analysis, model updating, damage detection, influence line identification, and bridge weigh-in-motion, etc.

商品描述(中文翻譯)

本書提供了基於可傳遞性系統識別的深入且系統性的介紹，以及其在現代結構健康監測（SHM）中的角色。它將可傳遞性建立為一個顛覆性的框架，超越傳統的輸入-輸出和僅輸出方法，提出一個統一的輸出-輸出範式。這種創新的方法減少了對激勵測量或限制性假設（如白噪聲輸入）的依賴。基於作者超過15年的原創研究，涵蓋30多篇高影響力的出版物，本書提供了從可傳遞性的物理/統計特性理論進展到新穎識別算法及經過數值模擬、實驗室實驗和現場實施驗證的實用SHM應用等新貢獻。詳細的公式和實施說明使工程師能夠直接在實踐中應用這些概念，而學術界和業界的研究人員則能夠獲得靈感，進一步探索SHM中的研究，包括模態分析、模型更新、損傷檢測、影響線識別和橋梁動態稱重等。

作者簡介

Prof. Wang-Ji Yan earned his PhD from the Hong Kong University of Science and Technology and has held positions including a prestigious Marie Sklodowska-Curie Fellowship at the University of Nottingham and a Full Professorship at Hefei University of Technology. He is currently an Associate Professor and Coordinator of the Urban Safety and Disaster Prevention Group at the State Key Laboratory of Internet of Things for Smart City, University of Macau. His research focuses on structural health monitoring, Bayesian system identification, and stochastic dynamics. He has published over 110 top-tier journal papers, with more than 35 in MSSP, his field's flagship journal. His publications have attracted over 3,200 citations, influencing broad follow-up research. His work has been supported by over 15 grants, including NSFC, China's National Key R&D Program, and Macao FDCT. Prof. Yan serves as an editor for five international journals and on technical committees of multiple academic bodies. He is the first Chinese scholar to receive the prestigious European Association for Structural Dynamics Junior Research Award and has earned over ten additional honors, including Natural Science Awards from China's Ministry of Education and Macau SAR. He has delivered over 20 keynote/invited talks, including a semi-plenary keynote at EURODYN 2026, and has supervised over 40 postgraduate and postdoctoral researchers.

作者簡介(中文翻譯)

嚴王基教授於香港科技大學獲得博士學位，曾擔任包括諾丁漢大學的著名瑪麗·斯克沃多夫斯卡-居里獎學金和合肥工業大學的正教授等職位。目前，他是澳門大學智慧城市物聯網國家重點實驗室的副教授及城市安全與災害預防小組的協調員。他的研究專注於結構健康監測、貝葉斯系統識別和隨機動力學。他已發表超過110篇頂尖期刊論文，其中35篇以上發表在其領域的旗艦期刊MSSP上。他的出版物已獲得超過3200次引用，對廣泛的後續研究產生了影響。他的研究工作獲得超過15項資助，包括國自然科學基金、中國國家重點研發計劃和澳門FDCT的支持。嚴教授擔任五本國際期刊的編輯，並在多個學術機構的技術委員會中任職。他是首位獲得歐洲結構動力學協會青年研究獎的中國學者，並獲得十多項其他榮譽，包括中國教育部和澳門特區的自然科學獎。他已發表超過20場主題演講/受邀演講，包括在EURODYN 2026的半 plenary 主題演講，並指導超過40名研究生和博士後研究人員。

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