数字技术驱动的覆土建筑景观设计——以深圳湾文化广场为例

Digitally-Driven Approaches to Landscape Architectural Design for Soil-Covered Buildings: A Case Study of Shenzhen Bay Culture Plaza

摘要:

随着建筑生态学及数字技术不断发展，大型覆土建筑艺术近年来获得了建筑学界的高度关注，其设计模式正逐步向数据驱动的精细化模式转型融合。深圳湾文化广场的大型覆土建筑在异形屋面、超大坡度与复杂生态约束下面临着结构安全、防滑固土、排水效率及植物微环境构建等核心挑战。以深圳湾文化广场为例，通过引入LIM（Landscape Information Modeling）技术构建跨专业数字化协同框架，整合结构工程、景观设计与生态分析数据，实现从荷载梯度控制、雨水径流模拟到植物配置的全流程参数化设计与模拟。研究表明，该方法有效提升了覆土建筑在超高复杂度条件下的结构安全性、地形稳定性与生态适应性，保障了3.66 万m2 覆土屋面的技术可行性与实施精准度，为同类项目提供了可推广的数据驱动设计参考体系。

Abstract:

With the continuous advancement of architectural ecologies and digital technologies, the art of large-scale soil-covered architecture has received growing attention in architectural research in recent years, with its design paradigms progressively shifting toward datadriven precision models. This study examines the core challenges in large-scale soilcovered buildings—such as structural safety, slope stabilization, drainage efficiency, and the development of plant micro-environments under complex roof geometries and steep slopes—by exploring digitally-driven precision design approaches. Taking Shenzhen Bay Culture Plaza as a case study, this study develops a LIM-based digital collaborative framework to integrate structural, landscape, and ecological data, enabling parametric modelling and simulation, including load gradient control, stormwater runoff analysis, and planting configuration. The results demonstrate that this method significantly enhances structural safety, slope stability, and ecological compatibility in high-complexity conditions, while ensuring the technical feasibility and implementation precision of a 36 600 m2 soilcovered roof. The study establishes a replicable data-driven design framework for similar projects.