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\u6574\u5408 \u4eba\u5de5\u667a\u80fd<\/strong> \uff08\u4eba\u5de5\u667a\u80fd\uff09 \u6709\u9650\u5143\u5206\u6790\uff08FEA\uff09<\/strong> \u6807\u5fd7\u7740\u8ba1\u7b97\u529b\u5b66\u7684\u91cd\u5927\u8f6c\u53d8\uff0c\u4e3a\u52a0\u901f\u6a21\u62df\u548c\u63d0\u9ad8\u5de5\u7a0b\u8bbe\u8ba1\u7684\u7cbe\u5ea6\u63d0\u4f9b\u4e86\u524d\u6240\u672a\u6709\u7684\u673a\u4f1a\u3002. <\/span><\/p>\n

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\u7814\u8ba8\u4f1a 4\uff1a\u6545\u969c\u6392\u9664<\/span><\/i><\/a><\/p><\/div>

[woodmart_list icon_fontawesome=”fa fa-solid fa-check” woodmart_css_id=”6911d7d2edbd4″ list=”%5B%7B%22list-content%22%3A%22Error%20Troubleshooting%22%2C%22item_type%22%3A%22inherit%22%7D%2C%7B%22list-content%22%3A%22Inverse%20Code%20Error%20Troubleshooting%22%2C%22item_type%22%3A%22inherit%22%7D%2C%7B%22list-content%22%3A%22Solution%20to%20Avoid%20Local%20Minimum%20Problem%22%2C%22item_type%22%3A%22inherit%22%7D%2C%7B%22list-content%22%3A%22How%20to%20execute%20Python%20Code%20to%20automatically%20run%20all%20Abaqus%20scripts%20sequentially%22%2C%22item_type%22%3A%22inherit%22%7D%2C%7B%22list-content%22%3A%22How%20to%20implement%20similar%20approach%20for%20woven%20composites%22%2C%22item_type%22%3A%22inherit%22%7D%5D” responsive_spacing=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zcGFjaW5nIiwic2VsZWN0b3JfaWQiOiI2OTExZDdkMmVkYmQ0Iiwic2hvcnRjb2RlIjoid29vZG1hcnRfbGlzdCIsImRhdGEiOnsidGFibGV0Ijp7fSwibW9iaWxlIjp7fX19″ icons_color=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfY29sb3JwaWNrZXIiLCJjc3NfYXJncyI6eyJjb2xvciI6WyIgLndkLWljb24iXX0sInNlbGVjdG9yX2lkIjoiNjkxMWQ3ZDJlZGJkNCIsImRhdGEiOnsiZGVza3RvcCI6IiNkZDk5MzMifX0=”]<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
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Abaqus\u5728\u4ee3\u7406\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u7684\u4f5c\u7528<\/strong><\/span><\/h2>\n

Abaqus\u5728\u4ee3\u7406\u6a21\u578b\u5f00\u53d1\u4e2d\u626e\u6f14\u7740\u6838\u5fc3\u4e14\u81f3\u5173\u91cd\u8981\u7684\u89d2\u8272\u3002\u5178\u578b\u7684\u5de5\u4f5c\u6d41\u7a0b\u5c06Abaqus\u4e3b\u8981\u7528\u4f5c\u2026\u2026 \u6570\u636e\u751f\u6210\u5f15\u64ce<\/strong>.<\/span><\/p>\n

    \n
  1. \u6570\u636e\u751f\u6210\uff1a<\/strong> \u5de5\u7a0b\u5e08\u4f7f\u7528 Abaqus \u4eff\u771f\u8fdb\u884c\u53c2\u6570\u5316\u7814\u7a76\u3002\u8fd9\u4e9b\u7814\u7a76\u7cfb\u7edf\u5730\u6539\u53d8\u8f93\u5165\u53c2\u6570\uff08\u4f8b\u5982\uff0c\u51e0\u4f55\u5f62\u72b6\u3001\u6750\u6599\u5c5e\u6027\u3001\u8fb9\u754c\u6761\u4ef6\uff09\uff0c\u4ee5\u9002\u5e94\u9884\u671f\u7684\u8bbe\u8ba1\u6216\u8fd0\u884c\u8303\u56f4\u3002.<\/span><\/li>\n
  2. \u6570\u636e\u63d0\u53d6\uff1a<\/strong> \u4ece Abaqus \u8f93\u51fa\u6570\u636e\u5e93 (ODB) \u4e2d\u63d0\u53d6\u5173\u952e\u573a\u91cf\u6216\u6807\u91cf\u54cd\u5e94\uff08\u4f8b\u5982\u6700\u5927\u5e94\u529b\u3001\u4f4d\u79fb\u6216\u5931\u6548\u8d77\u59cb\uff09\u3002.<\/span><\/li>\n
  3. \u6a21\u578b\u8bad\u7ec3\uff1a<\/strong> \u63d0\u53d6\u51fa\u7684\u8f93\u5165\u53c2\u6570\u53ca\u5176\u5bf9\u5e94\u7684\u8f93\u51fa\u7528\u4e8e\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u4ee3\u7406\u6a21\u578b\u3002 Abaqus\u4ee3\u7406\u6a21\u578b<\/strong> \u5b66\u4e60\u8f93\u5165\u548c\u8f93\u51fa\u4e4b\u95f4\u7684\u590d\u6742\u6620\u5c04\u5173\u7cfb\u3002.<\/span><\/li>\n<\/ol>\n

    \u7136\u540e\uff0c\u8bad\u7ec3\u597d\u7684\u4ee3\u7406\u6a21\u578b\u53ef\u4ee5\u4ee3\u66ff\u539f\u59cb\u7684\u9ad8\u4fdd\u771f Abaqus \u6a21\u578b\u8fdb\u884c\u5feb\u901f\u8bc4\u4f30\uff0c\u4f7f\u5176\u5728\u53c2\u6570\u7814\u7a76\u3001\u4f18\u5316\u5faa\u73af\u548c\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u7b49\u5e94\u7528\u4e2d\u5177\u6709\u5f88\u9ad8\u7684\u4ef7\u503c\u3002. <\/span><\/p>\n

    \u4f8b\u5982\uff0cAbio \u7b49\u4eba (2022) \u5728 Abaqus \u4e2d\u5bf9 22MnB5 \u538b\u94f8\u786c\u5316\u8fc7\u7a0b\u8fdb\u884c\u4e86\u77ac\u6001\u4f20\u70ed\u6a21\u62df\uff0c\u5e76\u8bad\u7ec3\u4e86\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u4ee3\u7406\u6a21\u578b\u3002\u4ed6\u4eec\u7684\u4ee3\u7406\u6a21\u578b\u9884\u6d4b\u5173\u952e\u6e29\u5ea6\u573a\u7684\u5e73\u5747\u8bef\u5dee\u7ea6\u4e3a 3 \u00b0C\uff0c\u901f\u5ea6\u63d0\u9ad8\u4e86\u7ea6 10^4 \u500d\u3002. <\/span><\/p>\n

    Tannous\u7b49\u4eba\uff082025\uff09\u901a\u8fc7\u8fd0\u884c\u53c2\u6570\u5316\u7684Abaqus\u6a21\u578b\uff0c\u5229\u7528Python\u811a\u672c\u63d0\u53d6\u5feb\u7167\u521a\u5ea6\u77e9\u9635\uff0c\u5e94\u7528POD\u7b97\u6cd5\uff0c\u5e76\u4f7f\u7528\u968f\u673a\u68ee\u6797\u9884\u6d4b\u7ea6\u5316\u7cfb\u6570\uff0c\u4ece\u800c\u5f00\u53d1\u4e86\u4e00\u79cd\u964d\u9636\u6a21\u578b\uff08ROM\uff09\u3002\u4ed6\u4eec\u7684\u673a\u5668\u5b66\u4e60\u964d\u9636\u6a21\u578b\uff08ML-ROM\uff09\u5728\u51e0\u79d2\u949f\u5185\u89e3\u51b3\u4e8665\u4e2a\u7b97\u4f8b\uff0c\u800cAbaqus\u5e73\u5747\u6bcf\u4e2a\u7b97\u4f8b\u9700\u8981\u7ea63\u5206\u949f\uff0c\u901f\u5ea6\u5927\u5e45\u63d0\u5347\u3002. <\/span><\/p>\n

    Gladstone \u7b49\u4eba (2024) \u4f7f\u7528 Abaqus \u751f\u6210\u7684\u6709\u9650\u5143\u5206\u6790\u6570\u636e\uff08\u8282\u70b9\u5e94\u529b\/\u5e94\u53d8\uff09\u8bad\u7ec3\u56fe\u795e\u7ecf\u7f51\u7edc (GNN)\uff0c\u7528\u4e8e Mooney-Rivlin \u6750\u6599\u7684\u9759\u6001\u5f39\u6027\u5206\u6790\u3002\u4ed6\u4eec\u57fa\u4e8e\u7f51\u683c\u7684 GNN \u4ee3\u7406\u6a21\u578b\u5728 ~0.1 \u79d2\u5185\u5373\u53ef\u8ba1\u7b97\u51fa\u89e3\u51b3\u65b9\u6848\uff0c\u800c Abaqus \u5219\u9700\u8981 ~20 \u79d2\u3002. <\/span><\/p>\n

    Yan \u7b49\u4eba (2020) \u63d0\u51fa\u4e86\u4e00\u79cd\u7528\u4e8e\u590d\u5408\u6750\u6599\u6e10\u8fdb\u635f\u4f24\u7684 ANN \u4ee3\u7406\u6a21\u578b\uff1a\u5229\u7528\u7ec6\u89c2\u5c3a\u5ea6 RVE FE \u6570\u636e\uff08\u4f8b\u5982\u6765\u81ea Abaqus \u7684\u6570\u636e\uff09\u8bad\u7ec3\u975e\u7ebf\u6027\u5e94\u529b-\u5e94\u53d8\u548c\u5931\u6548\u7684\u4ee3\u7406\u6a21\u578b\uff0c\u7136\u540e\u5c06\u5176\u5d4c\u5165\u5b8f\u89c2\u5c3a\u5ea6 FE \u6a21\u578b\u4e2d\u3002. <\/span><\/p>\n

    \u636e\u62a5\u9053\uff0c\u8be5\u65b9\u6cd5\u5177\u6709\u826f\u597d\u7684\u4e00\u81f4\u6027\u548c\u901f\u5ea6\u63d0\u5347\u3002Sunil \u548c Sills (2024) \u63d0\u51fa\u4e86\u201cFE-PINNs\u201d\uff1a\u4e00\u79cd\u57fa\u4e8e\u7269\u7406\u4fe1\u606f\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u4f7f\u7528 Abaqus \u751f\u6210\u7f51\u683c\u548c\u521a\u5ea6\u77e9\u9635\u8fdb\u884c\u8bad\u7ec3\u3002\u4ed6\u4eec\u5c06\u81ea\u5b9a\u4e49\u7684\u6709\u9650\u5143\u5377\u79ef\u5d4c\u5165\u5230 TensorFlow \u4e2d\uff0c\u5728\u63a8\u7406\u901f\u5ea6\u65b9\u9762\u4e0e Abaqus \u7684\u7ebf\u6027\u5f39\u6027\u8ba1\u7b97\u7ed3\u679c\u76f8\u5339\u914d\u3002.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>

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    \u5b9e\u65bd\u548c\u5173\u952e\u65b9\u6cd5<\/strong><\/span><\/h2>\n

    AI\u4ee3\u7406\u4e0eAbaqus\u7684\u96c6\u6210\u901a\u5e38\u9075\u5faa\u4e24\u79cd\u4e3b\u8981\u6a21\u5f0f\uff1a<\/span><\/p>\n

      \n
    1. \u5916\u90e8\u66ff\u4ee3\u8026\u5408\uff1a<\/strong> AI\u6a21\u578b\u5b8c\u5168\u5728Abaqus\u4e4b\u5916\u8fd0\u884c\uff08\u901a\u5e38\u5728Python\/TensorFlow\u6216MATLAB\u73af\u5883\u4e2d\uff09\uff0c\u901a\u8fc7\u81ea\u52a8\u5316\u811a\u672c\u4e0eAbaqus\u4ea4\u4e92\uff0c\u8fd9\u4e9b\u811a\u672c\u8d1f\u8d23\u7ba1\u7406\u4eff\u771f\u8fc7\u7a0b\u3001\u6570\u636e\u8bfb\u53d6\u548c\u5199\u5165\u3002\u4e00\u4e2a\u793a\u4f8b\u6a21\u677f\u5229\u7528Python\u811a\u672c\u5c06\u53c2\u6570\u5199\u5165Abaqus\u8f93\u5165\u6587\u4ef6\uff0c\u8fd0\u884c\u4f5c\u4e1a\uff0c\u5e76\u5728\u62df\u5408\u9ad8\u65af\u8fc7\u7a0b\u56de\u5f52\u5668\u4e4b\u524d\u4eceODB\u6587\u4ef6\u4e2d\u63d0\u53d6\u7ed3\u679c\u3002.<\/span><\/li>\n
    2. \u5d4c\u5165\u5f0f\u65b9\u6cd5\uff1a<\/strong> \u4e0e\u6750\u6599\u6a21\u578b\u76f8\u6bd4\uff0c\u4ee3\u7406\u6a21\u578b\u8f83\u5c11\u91c7\u7528\u8fd9\u79cd\u65b9\u6cd5\uff0c\u8fd9\u79cd\u65b9\u6cd5\u6d89\u53ca\u4e3a\u6a21\u578b\u7684\u67d0\u4e9b\u65b9\u9762\u4f7f\u7528\u81ea\u5b9a\u4e49\u5b50\u7a0b\u5e8f\u3002.<\/span><\/li>\n<\/ol>\n

      \u4e00\u4e9b\u5f00\u6e90\u9879\u76ee\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 Abaqus \u5b9e\u73b0\u4ee3\u7406\u6a21\u578b\u3002JohnCSu \u7684\u9879\u76ee\u4e5f\u4f53\u73b0\u4e86\u8fd9\u4e00\u70b9\u3002 Abq_2_\u7b2c\u4e09\u65b9\u5e93<\/em> \uff08\u4e0a\u6b21\u63d0\u4ea4\u65f6\u95f4\u4e3a 2024 \u5e74 5 \u6708\uff09\u6f14\u793a\u4e86\u4e00\u79cd\u7528\u4e8e\u5c48\u66f2\u67f1\u7684\u9ad8\u65af\u8fc7\u7a0b\u56de\u5f52\u4ee3\u7406\u6a21\u578b\uff1a\u4e00\u4e2a Python \u811a\u672c\u8fd0\u884c Abaqus\uff08pillar.cae\uff09\uff0c\u63d0\u53d6\u6709\u9650\u5143\u89e3\uff0c\u5e76\u8bad\u7ec3\u4e00\u4e2a sklearn GPR \u6a21\u578b\u3002\u4e3b\u8981\u811a\u672c\u662f pillar.py\uff08Abaqus \u4f5c\u4e1a\uff09\u548c external.py\uff08\u8bad\u7ec3\/\u9884\u6d4b\uff09\u3002.<\/span><\/p>\n

      \u5361\u5c14\u8482\u51ef\u626c\u7684 \u590d\u5408\u6750\u6599\u635f\u4f24\u9884\u6d4b<\/em> \uff082025\u5e742\u6708\uff09\u4f7f\u7528Abaqus\u6a21\u62df\u590d\u5408\u6750\u6599\u677f\u635f\u4f24\uff0c\u5e76\u8bad\u7ec3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u6765\u9884\u6d4b\u5931\u6548\u6a21\u5f0f\u3002\u5b83\u5305\u542bAbaqus\u8f93\u5165\u6587\u4ef6\u548c\u4e00\u4e2aPyTorch\u8bad\u7ec3\u811a\u672c\u3002Mikhael Tannous\u7684 hml<\/em> \uff082024 \u5e74 5 \u6708\uff09\u6267\u884c\u591a\u4fdd\u771f\u5ea6\u4ee3\u7406\uff1a\u901a\u8fc7 Python \u8fd0\u884c\u4f4e\/\u9ad8\u4fdd\u771f\u5ea6 Abaqus \u6a21\u62df\uff0cPOD-reduce\uff0c\u5e76\u8bad\u7ec3 TF+Fortran \u6a21\u578b\u3002.<\/span><\/p>\n

      \u4ee3\u7406\u6a21\u578b\u6587\u732e\u4e2d\u8fd1\u671f\u7684\u4e00\u4e2a\u5173\u952e\u8d8b\u52bf\u662f\uff0c\u4ece\u7eaf\u7cb9\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u8f6c\u5411\u5176\u4ed6\u65b9\u6cd5\u3002 \u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7f51\u7edc\uff08PINN\uff09<\/strong>. \u8fd9\u4e9b\u6a21\u578b\u5c06\u63a7\u5236\u7269\u7406\u65b9\u7a0b\u76f4\u63a5\u7eb3\u5165\u5b66\u4e60\u8fc7\u7a0b\uff0c\u8fd9\u6709\u5229\u4e8e\u63d0\u9ad8\u6a21\u578b\u4ece\u7cbe\u786e\u8bad\u7ec3\u6570\u636e\u4e4b\u5916\u8fdb\u884c\u63a8\u65ad\u7684\u80fd\u529b\uff0c\u5e76\u964d\u4f4e\u603b\u4f53\u6570\u636e\u9700\u6c42\u3002.<\/span><\/p>\n

      \u6b64\u5916\uff0c\u7814\u7a76\u4eba\u5458\u6b63\u5728\u901a\u8fc7\u91c7\u7528\u8bf8\u5982\u4ee5\u4e0b\u6280\u672f\u6765\u89e3\u51b3\u201c\u7ef4\u5ea6\u707e\u96be\u201d\uff08\u9ad8\u7ef4\u53c2\u6570\u7a7a\u95f4\u5e26\u6765\u7684\u6311\u6218\uff09\uff1a \u81ea\u7f16\u7801\u5668<\/strong> \u5bf9\u4e8e\u975e\u7ebf\u6027\u964d\u7ef4\u548c \u591a\u4fdd\u771f\u5ea6\u5efa\u6a21<\/strong>. <\/span><\/p>\n

      \u591a\u4fdd\u771f\u5ea6\u5efa\u6a21\u5de7\u5999\u5730\u5c06\u6709\u9650\u7684\u9ad8\u4fdd\u771f\u5ea6 Abaqus \u4eff\u771f\u4e0e\u5ec9\u4ef7\u7684\u4f4e\u4fdd\u771f\u5ea6\u6a21\u578b\u76f8\u7ed3\u5408\uff0c\u4ee5\u52a0\u901f\u8bad\u7ec3\u8fc7\u7a0b\u3002.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>

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      \u57fa\u4e8e Abaqus \u6570\u636e\u7684\u5b9e\u9645\u5e94\u7528<\/strong><\/span><\/h2>\n

      \u4ee3\u7406\u6a21\u578b\u5df2\u6210\u529f\u5e94\u7528\u4e8e\u591a\u4e2a\u590d\u6742\u7684\u5de5\u7a0b\u95ee\u9898\uff0c\u800c\u4f20\u7edf\u7684\u6709\u9650\u5143\u5206\u6790\u901f\u5ea6\u592a\u6162\uff1a<\/span><\/p>\n