报告人：刘海涛博士，美国船级社技术总部，Manager of Data Management and Analytics
题目：Data-Driven Techniques for Structural Condition Assessment
时间：10月25日13:30-14:30
地点：百川楼301教室
摘要 ABSTRACT:
With the advent of digital technologies, specifically ship connectivity, sensor technology, data analytics, and public and commercial available data sources relevant to shipping traffic and weather forecast and hindcast, many efforts are devoted to the concepts and methodologies for data-driven ship structural health assessment. A structural digital twin, which fuses data and data analytics with multi-physics and multi-scale models, analysis, and simulations, evolves the ship structural assessment and monitoring from ship type and ship design specific to individual ship operation specific.
The data-driven structural condition monitoring, assessment and prediction unlock the potential benefits to be derived from the ship-operation-specific approach, specifically optimized operations, condition-based dry-dock, inspection and survey planning, life extension, and fleet management with enhanced reliability, availability, maintainability, and safety while reducing ships operational and support costs.
According to the data availability and effort levels, various tiers of data-driven approaches will benefit owners and operators with different operational strategy and balance the outcomes with investment. In any case, the data-driven structural condition assessment approach will assist them on claiming the most values from data.
主讲人简介 Presenter Biography:
Dr. Haitao Liu is a 12-year veteran of the marine and offshore industries, who has worked on various projects in advanced structural analysis, operational performance, big data and data analytics, smart ships, structural digital twin, and digitization strategy. He has experience in the complete data life-cycle from data capture, collection, processing, analysis, visualization, trending, and generating actionable business intelligence and providing decision support.
Dr. Liu is currently the Manager of Data Management and Analytics and works in the ABS Corporate Technology at the company’s world headquarters in Houston, Texas, where he is responsible for establishing ABS data strategy and approaches for leveraging data to promote safety, environmental friendliness, more efficient and more economic operations.
Before his current role, Dr.Liu has been worked in various departments in ABS Headquarter and ABS Greater China Division, on leading and managing team on rules and standards, structural analysis and software development, vessel performance, condition-based inspection, and asset integrity management. Prior to joining ABS, Dr. Liu has worked in advanced computational mechanics and information technology at various companies both in US and China.
Dr. Liu has been a post-doctoral researcher in University of California, Los Angles (UCLA). He has a Doctoral degree in structural engineering from University of Iowa, a Master’s degree in ocean engineering from Chinese Academy of Sciences, and a Bachelor's degree in engineering mechanics from Peking University, China.
