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The lifting construction process of high-rise structure is very difficult, and the unloading and demolition of lifting equipment and temporary support pose a greater challenge to the construction safety of high-rise structure. With the Beijiang Pearl Tower Project as the background, the unloading process of the revolving restaurant after hoisting was studied by combining Abaqus life and death element technology with unloading process monitoring. Five unloading schemes were formulated to analyze and compare the influence of different unloading sequence on the internal force of the structure. The finite element simulation results are basically consistent with the monitoring data, indicating that the technology is effective and feasible, and the combination of the two can effectively ensure the safety of the construction unloading process. The analysis results show that: for the overall lifting construction of multi-layer frame convex structure of similar high-rise structure, when unloading the temporary support, it is appropriate to first remove the secondary components outside the floor where the lifting steel strand lifting point is located, then gradually remove the steel strand load, and remove the steel strand and equipment, and finally remove the main support components near the upper and lower lifting points of steel strand.

• A formula is derived to estimate the expected number of rehandles. • An integer programming model is established for solving small-scale instances. • A two-stage search algorithm is designed to find an optimal solution in seconds. • The convergence and the time complexity of the algorithm are demonstrated. This study focuses on the inbound container unloading and stacking problem at container terminals and achieves both a reasonable unloading sequence and the optimal yard stacking distribution. A formulation is proposed as the relational expression between the expected number of rehandles and the stacking height. Based on the formulation, an integer programming model is established to both find the optimal stacking distribution and unloading sequence and attempt to minimize the expected number of rehandles. The model can be solved by the commercial solver for small-scale instances. To solve for large-scale instances in the real world, a two-stage search algorithm is designed, therein incorporating an initial stage for generating the feasible solution and a neighborhood search stage for finding the optimal solution. The algorithm can find an optimal solution in polynomial time, which is proved by theoretical methods and evidenced by numerical experiments. [ABSTRACT FROM AUTHOR]