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The Qinghai-Tibet Engineering Corridor (QTEC) is an important road. Imaging and monitoring its subsurface structure play important roles in environmental protection and disaster prevention. With the development of geophysical technology, waveform inversion has become an excellent means to obtain high precision velocity structure. Therefore, we propose the Rayleigh-wave waveform inversion framework with physical constraints using generative adversarial network. We apply the framework to the surface waves data acquired from the QTEC. Because only a few factors are considered, we report a preliminary inversion result. In the future, we will consider additional factors to conduct more refined inversions in order to analyze the subsurface structure beneath the acquired area.