China

The Semantic Segmentation-Based Recognition Phase Components within the UHPC under normal and high temperature: Theory, Methodology and Application

Xi’an Jiaotong-Liverpool University

Not stated

Location
Suzhou, United Kingdom, United Kingdom
Funding
Self-Funded PhD Students Only
Application deadline
Year-round applications

About the project

About the Project The proposed research project aims to enhance the microscale structure-driven multiscale modeling framework for UHPC materials by incorporating advanced AI-driven image semantic segmentation technology for identifying phase composition based on digital images from microscale examinations. The proposed framework aims to support the development of sustainable UHPC materials, as well as to examine the in-service performance of UHPC materials under normal and hazardous high-temperature environments. The following objectives have been identified: Develop AI-driven, deep learning based image semantic segmentation technology to identify and quantify the phase components of UHPC materials under different working conditions. Utilize the phase-field method to predict the mechanical properties of UHPC materials and explore the failure mechanism under normal and high temperatures. Develop sustainable UHPC material with different hybrid fibres, aiming to provide a material solution to various applications that face fire hazards. Joint Supervisory Team: XJTLU supervisor: Dr. Jun Xia, Dr Engui Liu XJTU supervisor: Professor Yun Gao UoL supervisor: Dr. Paul Shepley Requirements: A UK first-class or upper second-class honours Bachelor's degree and a UK Master's degree with Merit (or their equivalent) are required for PhD admissions. Exceptional candidates holding only a Bachelor's degree may be considered on an individual basis. Evidence of good spoken and written English is essential. The candidate should have an IELTS (or equivalent) score of 6.5 or above, if the first language is not English. For more information about entry requirements and admission procedures of PhD programme at XJTLU, please visit: Entry Requirement - Xi'an Jiaotong-Liverpool University How to Apply - Xi'an Jiaotong-Liverpool University Programme Structure and Fees: Doctoral students in the joint programme are registered with both XJTLU and the UoL. Upon successful completion of the programme, the students will be awarded a PhD degree from University of Liverpool. During their doctoral studies at XJTLU, students are expected to conduct research at XJTU as visiting students. Additionally, students have the opportunity to apply for a short-term research visit to the UoL if the project requires it. The joint doctoral programme is offered on a full-time basis, with a typical duration of three to four years. The tuition fee is RMB 99,000 per year. How to Apply: Interested applicants are advised to email(Jun xia@xjtlu.edu.cn , or yun.gao@xjtu.edu.cn ) the following documents for initial review and assessment (Please include the project title in the subject line): CV Two formal reference letters Personal statement outlining your interest in the position Certificates of English language qualifications (IELTS or equivalent) Full academic transcripts in both Chinese and English (for international students, only the English version is required) Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required) PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports available

Research areas

ChinaArtificialIntelligenceCivilEngineeringComputerScienceEngineeringTheSemanticSegmentation-BasedRecognitionPhaseComponentswithintheUHPCundernormalandhightemperature:Theory,MethodologyandApplication