{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T03:02:53Z","timestamp":1783393373404,"version":"3.54.6"},"reference-count":22,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T00:00:00Z","timestamp":1568592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Open Foundation of Henan Key Laboratory of Underwater Intelligent Equipment","award":["KL03B1803"],"award-info":[{"award-number":["KL03B1803"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Recently, magnetorheological elastomer (MRE) has been paid increasingly attention for vibration mitigation devices with the benefits of low power cost, fail safe performances, and fast responses. To make full use of the striking advantages of MRE device, a highly precise model should be developed to predict its dynamic performances. In the work, an MRE isolator in shear\u2013squeeze mixed mode is developed and tested under dynamic loadings. The nonlinear performances in various displacement amplitude and currents are shown. An artificial neural network model with a back-propagation algorithm is proposed to characterize the nonlinear hysteresis of MRE isolator for its implementation in vibration control applications. This model utilized the displacement, velocity, and applied current as inputs and output force as output. The results show that the proposed model has high modeling accuracy and can well portray the complicated behaviors of MRE isolator with different excitations, which shows a fundamental basis for structural vibration control.<\/jats:p>","DOI":"10.3390\/a12090195","type":"journal-article","created":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T03:17:57Z","timestamp":1568603877000},"page":"195","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An Intelligent Artificial Neural Network Modeling of a Magnetorheological Elastomer Isolator"],"prefix":"10.3390","volume":"12","author":[{"given":"Shiping","family":"Zhao","sequence":"first","affiliation":[{"name":"Seventh Thirteen Institute of China Shipbuilding Industry Corporation, Zhengzhou 450000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Ma","sequence":"additional","affiliation":[{"name":"Seventh Thirteen Institute of China Shipbuilding Industry Corporation, Zhengzhou 450000, China"},{"name":"Henan Key Laboratory of Underwater Intelligent Equipment, Zhengzhou 450000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dingxin","family":"Leng","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Electrical Engineering, Ocean University of China, Qingdao 266024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1088\/0964-1726\/22\/11\/117001","article-title":"Experimental study and modeling of a novel magnetorheological elastomer isolator","volume":"22","author":"Yang","year":"2013","journal-title":"Smart Mater. 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