Vldl379 发表于 2025-3-25 05:04:54

Preston R. Aldrich,Jeannine Cavender-Baresanical characteristics are the goals of identification. These models are more attractive than modal models as they potentially yield local information. To reduce the computational effort of this complex problem, a refined algorithm is implemented which identifies the parameters of a structure’s fini

演讲 发表于 2025-3-25 09:43:25

Preston R. Aldrich,Jeannine Cavender-Barested to parameter estimation are examined in detail here with reference to a specific case of a masonry building affected by . damage. Pseudo experimental and experimental data are considered in the identification procedure; this allowed different causes of ill-conditioning and other peculiarities to

收养 发表于 2025-3-25 11:57:34

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linear 发表于 2025-3-25 17:07:43

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chandel 发表于 2025-3-25 23:28:15

Preston R. Aldrich,Jeannine Cavender-Bares frequency response measurements. To overcome this limit, the use of sensitivity enhancement techniques has recently proposed: the monitored structure is coupled to an auxiliary system, the constitutive parameters of which are then suitably tuned to enhance the sensitivities relevant to the identifi

懦夫 发表于 2025-3-26 01:00:08

Preston R. Aldrich,Jeannine Cavender-Baresnumber of problems that exist with the inverse approach to structural health monitoring, including modelling errors, environmental effects, damage localisation, regularisation, models of damage and sensor validation.

Obstreperous 发表于 2025-3-26 04:18:44

Preston R. Aldrich,Jeannine Cavender-Bares of natural frequencies, both for continuous and discrete models of beams affected by . damages. A new approach is proposed which considers the peculiar aspects of the damage identification problem. Some applications of the technique proposed are outlined with reference to numerical and experimental cases.

mediocrity 发表于 2025-3-26 09:32:29

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取回 发表于 2025-3-26 16:24:03

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情节剧 发表于 2025-3-26 18:39:41

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查看完整版本: Titlebook: Dynamic Methods for Damage Detection in Structures; Antonino Morassi,Fabrizio Vestroni Book 2008 CISM Udine 2008 beam.damage.damage detect