For the corrosion risk of steel structures in the marine environment, the topography characteristics of corroded steel surfaces were paid little attention to, which has a significant effect on the mechanical properties of the interface between steel foundation and soil medium. An effective mathematical model for reconstructing the topography of corroded steel surface is very helpful for numerically or experimentally studying the soil-corroded steel interaction properties. In this study, an electrolytic accelerated corrosion experiment is conducted first to obtain corroded steel samples, which are exposed to submarine soil and suffer different corrosion degrees. Then, the surface height data of these corroded steel samples are scanned and analyzed. It is found that the height of surface two-dimensional contour curves under different corrosion degrees obeys the Gaussian distribution. Based on the spectral representation method, a mathematical model is developed for the profile height of the corroded steel surface. By comparing the standard deviation, arithmetic mean height and maximum height of reconstructed samples with those of experimental samples, the reliability of the developed mathematical model is proved. The proposed mathematical model can be adapted to reconstruct the surface topography of steel with different corrosion degrees for the following research on the shearing behavior of soil-corroded steel interface.

Conventional ammonia production via the Haber–Bosch process is energy-intensive and carbon-heavy. Emerging biomass-based approaches offer a sustainable alternative but often lack rigorous system-level analysis based on actual reaction kinetics. This study presents a novel integrated process coupling biomass pyrolysis/gasification with Chemical Looping Ammonia Generation (CLAG) and waste heat recovery. Unlike previous models relying on simplified assumptions, this simulation incorporates experimental kinetic data for both N-absorption and N-desorption stages to ensure high fidelity. The system’s energy and mass flows were rigorously evaluated using Aspen Plus. Results indicate that the gasification stage is optimal at an O₂/biomass molar ratio of 0.2 and 750 °C. In the CLAG unit, a higher N-absorption temperature (1600 °C) and α-Al₂O₃/C ratio (3:3) significantly enhance ammonia yield. Under these optimal conditions, the system achieves a remarkably low energy consumption of 10.12 GJ/t-NH₃ and specific CO₂ emissions of 3.2 t/t-NH₃—a reduction of over 60% compared to traditional coal-based routes. The integration of waste heat recovery is identified as a critical factor in minimizing net energy input. This work validates the feasibility of the biomass-based CLAG process as a low-carbon, energy-efficient pathway for sustainable ammonia synthesis.