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为不断变化的世界进行设计:数据与人工智能的作用.pdf

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1、Designing for a Changing World:The Role of Data&Artificial Intelligence Introducing Arup.We are a global collective of designers,experts and consultants dedicated to sustainable development.We use technology,imagination and rigor to shape a better world.We are a global collective of designers,expert

2、s and consultants dedicated to sustainable development.We use technology,imagination and rigor to shape a better world.Introducing ArupInsurance Claims Around the World1Frequency of natural disasters has increased builders risk claims by 14%Design errors are the most frequent cause of professional l

3、iability claims,accounting for 62%of all claims filed by construction firms in 2023Claims related to new green building projects have risen by 7%in 2023,as more complex environmental standards lead to frequent disputes over project quality and timelines1Construction Insurance Industry Statistics 202

4、5 CoinLawAEC Insurance Claims:Major Contributing FactorsTacoma Narrows Bridge Catastrophic Failure(1940)Data and AI Solutions:Simulation tools with real-world wind data AI-Powered stress analysis and structural resonance prediction Failure Cause:Aeroelastic flutter underestimated in designCase Study

5、:Berlin AquaDom(2022)Failure Cause:Structural Weakness in Acrylic Cylinder Data and AI Solutions:Predicative Maintenance Using AI Structural Health Monitoring Environmental Data Correlation Automated Risk AssessmentKey Technologies Driving Change Digital Twins Generative Design(e.g.,Autodesk Dreamca

6、tcher)Predictive Maintenance Systems Neural Networks for Pattern Recognition in Material Behavior It Begins with the Data.Start There!Arup Use Case:Project XYZ Noise Barrier Testing Cranked Noise Barriers in Open Urban AreaDesign life of 200-mph train every 10 minutes for 120 yearsBarrierPile founda

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本文介绍了Arup公司如何利用数据和人工智能技术在不断变化的世界中设计更美好的世界。关键点如下: 1. 灾害和设计错误导致的保险索赔增加:自然灾难导致的保险索赔上升14%,设计错误占建筑公司索赔的62%。 2. 数据和AI解决方案的应用:使用模拟工具、AI进行应力分析和结构共振预测。 3. 关键技术推动变革:数字双生、生成设计、预测性维护系统、神经网络等。 4. 数据收集与分析:强调理解数据产生的背景,优化数据收集流程,利用AI提高数据质量。 5. 实践案例:项目XYZ的噪音屏障测试,展示了数据在实际工程中的应用。 核心数据引用: - 设计错误导致的保险索赔占比:62% - 2023年绿色建筑项目相关索赔增长:7% - 数据处理与建模:应变数据900M,位移数据400M。 结论:数据驱动创新是工程领域的未来,利用大数据和AI进行工程和设计不再是可选,它们有助于预防灾难性失败并实现突破性设计。
"设计如何应对灾备频发?" "AI如何优化工程数据流?" "大数据下的工程设计变革?"
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