首页|Findings on Machine Learning Reported by Investigators at Guilin University of T echnology (Acoustic Emission Signatures for Quantifying Damage Patterns In Half Grouted Sleeve Connection Under Tensile Load)
Findings on Machine Learning Reported by Investigators at Guilin University of T echnology (Acoustic Emission Signatures for Quantifying Damage Patterns In Half Grouted Sleeve Connection Under Tensile Load)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Guilin, People ’s Republic of China, by NewsRx correspondents, research stated, “The half-grout ed sleeve connection (HGSC) have been widely used as connection tools for prefab ricated concrete (PC) buildings. It is crucial to maintain the safety and stabil ity of the nodes and detecting internal defects in the grouting sleeve for the s afety of the entire structure.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
GuilinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningGuilin University of Technol ogy
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