PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning

•To the best of our knowledge, the framework is the first multiple source domain adaptation framework for building damage diagnosis without any labels of the target building.•The adversarial training scheme enables an efficient learning of underlying domain-invariant feature representations and is r...

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