乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T17:51:01Z","timestamp":1724521861209},"reference-count":39,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2008,5,1]],"date-time":"2008-05-01T00:00:00Z","timestamp":1209600000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer aided Civil Eng"],"published-print":{"date-parts":[[2008,7]]},"abstract":"Abstract:\u2003<\/jats:bold> In this article, wind\u2010induced vibration response of Vincent Thomas Bridge, a suspension bridge located in San Pedro near Los Angeles, California, is simulated using a detailed three\u2010dimensional finite element model of the bridge and a state\u2010of\u2010the\u2010art stochastic wind excitation model. Based on the simulated wind\u2010induced vibration data, the modal parameters (natural frequencies, damping ratios, and mode shapes) of the bridge are identified using the data\u2010driven stochastic subspace identification method. The identified modal parameters are verified by the computed eigenproperties of the bridge model. Finally, effects of measurement noise on the system identification results are studied by adding zero\u2010mean Gaussian white noise processes to the simulated response data. Statistical properties of the identified modal parameters are investigated under an increasing level of measurement noise. The framework presented in this article will allow us to investigate the effects of various realistic damage scenarios in long\u2010span cable\u2010supported (suspension and cable\u2010stayed) bridges on changes in modal identification results. Such studies are required to develop robust and reliable vibration\u2010based structural health monitoring methods for this type of bridge, which is a long\u2010term research objective of the authors.<\/jats:italic> <\/jats:p>","DOI":"10.1111\/j.1467-8667.2008.00544.x","type":"journal-article","created":{"date-parts":[[2008,5,1]],"date-time":"2008-05-01T14:39:32Z","timestamp":1209652772000},"page":"373-388","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["Modal Identification Study of Vincent Thomas Bridge Using Simulated Wind\u2010Induced Ambient Vibration Data"],"prefix":"10.1111","volume":"23","author":[{"given":"Xianfei","family":"He","sequence":"first","affiliation":[]},{"given":"Babak","family":"Moaveni","sequence":"additional","affiliation":[]},{"given":"Joel P.","family":"Conte","sequence":"additional","affiliation":[]},{"given":"Ahmed","family":"Elgamal","sequence":"additional","affiliation":[]},{"given":"Sami F.","family":"Masri","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2008,5]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Abdel\u2010Ghaffar A. 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