Abstract: The present disclosure provides an environment-friendly sound-insulation rubber mortar and a preparation method thereof, belongs to the technical field of building materials. The environment-friendly sound-insulation rubber mortar of each cubic meter is prepared with the following materials: cement of 349.6-480.2 kg, water of 175.1-240.5 kg, river sand of 634.3-1033.0 kg, rubber of 121.7-328.9 kg, special glue for sound insulation of 0.1-121.8 kg, re-dispersible latex powder of 1.4-1.9 kg, and cellulose ether of 1.4-1.9 kg. The special glue for sound insulation is a water-based polyvinyl acetate adhesive.

Abstract: A power decentralized electric locomotive apparatus includes an electric locomotive and a plurality of muck trucks. The electric locomotive and the plurality of muck trucks are connected in sequence, and a mater drive motor is fixedly mounted on the electric locomotive. A slave drive motor is fixedly mounted on at least one of the muck trucks; a torque of the slave drive motor is smaller than a torque of the mater drive motor; and the slave drive motor cooperates with the mater drive motor, to enable the muck truck to travel on rails and reduce drive power and self-weight of the electric locomotive.

Abstract: A power decentralized electric locomotive apparatus includes an electric locomotive and a plurality of muck trucks. The electric locomotive and the plurality of muck trucks are connected in sequence, and a mater drive motor is fixedly mounted on the electric locomotive. A slave drive motor is fixedly mounted on at least one of the muck trucks; a torque of the slave drive motor is smaller than a torque of the mater drive motor; and the slave drive motor cooperates with the mater drive motor, to enable the muck truck to travel on rails and reduce drive power and self-weight of the electric locomotive.

Abstract: An assessment method for seismic landslide hazard based on a LS-D-Newmark model is performed as follows. Historical landslide data is acquired, and a historical landslide density is determined. The historical landslide data is input into the LS-D-Newmark model, and model parameters are adjusted, such that a static safety factor Fs of a slope is greater than 1 in the absence of external forces. The historical landslide density is introduced to the LS-D-Newmark model, and assignment of the static safety factor Fs is optimized to obtain an optimized static safety factor Fs-L. A slope critical acceleration ac-L and an earthquake-induced slope displacement Dn-L, are calculated to calculate a landslide occurrence probability P of a target landslide region. An assessment device, a processing device, and a computer-readable storage medium for implementing the method are further provided.