\u5bf9\u4e8e\u539a\u677f\u3001\u591a\u9053\u710a\u7b49\u590d\u6742\u7ed3\u6784\uff0c\u7269\u7406\u8bd5\u9a8c\u6210\u672c\u9ad8\u3001\u5468\u671f\u957f\uff0c\u6570\u503c\u4eff\u771f\u51e0\u4e4e\u662f\u4e0d\u53ef\u66ff\u4ee3\u7684\u524d\u671f\u8bc4\u4f30\u624b\u6bb5\u3002<\/p>\n
\u4e8c\u3001\u7406\u8bba\u57fa\u7840\uff1a\u987a\u5e8f\u70ed\u529b\u8026\u5408\u4e0e Goldak \u70ed\u6e90\u6a21\u578b<\/h2>\n2.1 \u987a\u5e8f\u70ed\u529b\u8026\u5408\u65b9\u6cd5<\/h3>\n
\u710a\u63a5\u4eff\u771f\u6709\u4e24\u79cd\u4e3b\u6d41\u8def\u7ebf\uff1a\u5b8c\u5168\u8026\u5408\uff08directly coupled\uff09\u4e0e\u987a\u5e8f\u8026\u5408\uff08sequentially coupled\uff09\u3002\u5b8c\u5168\u8026\u5408\u5728\u4e00\u4e2a\u5206\u6790\u6b65\u5185\u540c\u65f6\u6c42\u89e3\u6e29\u5ea6\u573a\u4e0e\u4f4d\u79fb\u573a\uff0c\u8ba1\u7b97\u4ee3\u4ef7\u9ad8\u3001\u6536\u655b\u56f0\u96be\uff0c\u5de5\u7a0b\u4e0a\u8f83\u5c11\u91c7\u7528\u3002\u987a\u5e8f\u70ed\u529b\u8026\u5408<\/strong>\u5c06\u95ee\u9898\u89e3\u8026\u4e3a\u4e24\u6b65\uff1a<\/p>\n \u8fd9\u4e00\u65b9\u6cd5\u7684\u7269\u7406\u4f9d\u636e\u662f\uff1a\u6e29\u5ea6\u573a\u5bf9\u4f4d\u79fb\u573a\u6709\u5f3a\u5f71\u54cd\uff08\u70ed\u81a8\u80c0\u3001\u6750\u6599\u8f6f\u5316\uff09\uff0c\u4f46\u673a\u68b0\u53d8\u5f62\u5bf9\u6e29\u5ea6\u573a\u7684\u53cd\u9988\u901a\u5e38\u8f83\u5f31\uff0c\u53ef\u4ee5\u5ffd\u7565\u3002\u987a\u5e8f\u8026\u5408\u5728\u4fdd\u8bc1\u7cbe\u5ea6\u7684\u540c\u65f6\u5927\u5e45\u964d\u4f4e\u8ba1\u7b97\u6210\u672c\uff0c\u662f\u710a\u63a5\u4eff\u771f\u7684\u4e8b\u5b9e\u6807\u51c6\u3002<\/p>\n \u79fb\u52a8\u70ed\u6e90\u7684\u63cf\u8ff0\u662f\u710a\u63a5\u6e29\u5ea6\u573a\u4eff\u771f\u7684\u6838\u5fc3\u3002Goldak \u7b49\uff08Goldak J., Chakravarti A., Bibby M., 1984, Metallurgical Transactions B<\/em>, 15(2): 299-305\uff09\u63d0\u51fa\u7684\u53cc\u692d\u7403\u70ed\u6e90\u6a21\u578b<\/strong>\u662f\u76ee\u524d\u5e94\u7528\u6700\u5e7f\u7684\u4f53\u70ed\u6e90\u6a21\u578b\u3002\u8be5\u6a21\u578b\u7528\u524d\u540e\u4e24\u4e2a\u534a\u692d\u7403\u63cf\u8ff0\u7194\u6c60\u5f62\u72b6\uff1a\u710a\u63a5\u65b9\u5411\u524d\u65b9\u7684\u534a\u692d\u7403\u8f83\u77ed\uff08\u53c2\u6570 c_f\uff09\uff0c\u540e\u65b9\u8f83\u957f\uff08\u53c2\u6570 c_r\uff09\uff0c\u4ee5\u53cd\u6620\u7194\u6c60”\u524d\u9661\u540e\u7f13”\u7684\u771f\u5b9e\u5f62\u6001\u3002<\/p>\n \u70ed\u6d41\u5bc6\u5ea6\u5728\u692d\u7403\u5185\u6309\u9ad8\u65af\u5206\u5e03\u8870\u51cf\uff0c\u524d\u534a\u90e8\u5206\u4e0e\u540e\u534a\u90e8\u5206\u5206\u522b\u8868\u793a\u4e3a\uff1a<\/p>\n \u524d\u534a\u692d\u7403\uff08\u70ed\u6e90\u524d\u65b9\uff09\uff1a<\/p>\n \u540e\u534a\u692d\u7403\uff08\u70ed\u6e90\u540e\u65b9\uff09\uff1a<\/p>\n \u5176\u4e2d Q \u4e3a\u710a\u63a5\u70ed\u8f93\u5165\uff08\u7535\u538b\u00d7\u7535\u6d41\uff09\uff0c\u03b7 \u4e3a\u70ed\u6548\u7387\uff0ca\u3001b \u4e3a\u692d\u7403\u534a\u957f\u8f74\u4e0e\u534a\u5bbd\uff0cf_f\u3001f_r \u4e3a\u524d\u540e\u70ed\u91cf\u5206\u914d\u7cfb\u6570\uff08\u6ee1\u8db3 f_f + f_r = 2\uff09\u3002\u70ed\u6e90\u4e2d\u5fc3\u4f4d\u7f6e\u968f\u65f6\u95f4\u6cbf\u710a\u63a5\u65b9\u5411\u79fb\u52a8\uff1ax_c = x_0 + v\u00b7t\u3002<\/p>\n \u5728 Abaqus \u4e2d\u5b9e\u73b0\u79fb\u52a8\u4f53\u70ed\u6e90\uff0c\u6807\u51c6\u505a\u6cd5\u662f\u7f16\u5199 DFLUX \u7528\u6237\u5b50\u7a0b\u5e8f<\/strong>\u3002\u6839\u636e Abaqus User Subroutines Reference Guide\uff08\u6587\u6863\u8def\u5f84\uff1a \u5b98\u65b9\u7ed9\u51fa\u7684\u5b50\u7a0b\u5e8f\u63a5\u53e3\u9aa8\u67b6\u5982\u4e0b\uff1a<\/p>\n \u5173\u952e\u53c2\u6570\u542b\u4e49\uff08\u6458\u81ea\u5b98\u65b9\u6587\u6863\uff09\uff1a<\/p>\n \u6b64\u5916\uff0c\u6839\u636e\u975e\u8026\u5408\u70ed\u4f20\u9012\u5206\u6790\u6587\u6863\uff08\u8def\u5f84\uff1a \u710a\u63a5\u4eff\u771f\u770b\u4f3c\u6d41\u7a0b\u6e05\u6670\uff0c\u5b9e\u9645\u64cd\u4f5c\u4e2d\u6709\u5927\u91cf\u7ec6\u8282\u51b3\u5b9a\u6210\u8d25\u3002\u4ee5\u4e0b\u662f\u591a\u5e74\u5b9e\u6218\u4e2d\u53cd\u590d\u9a8c\u8bc1\u7684\u8981\u70b9\uff1a<\/p>\n \u79fb\u52a8\u70ed\u6e90\u6bcf\u6b65\u524d\u8fdb\u7684\u8ddd\u79bb\u5fc5\u987b\u5c0f\u4e8e\u70ed\u6e90\u7279\u5f81\u5c3a\u5bf8\uff0c\u5426\u5219\u6e29\u5ea6\u573a\u4f1a\u51fa\u73b0”\u8df3\u8dc3”\uff0c\u5bfc\u81f4\u7ed3\u679c\u5931\u771f\u3002\u7ecf\u9a8c\u51c6\u5219\uff1a\u5355\u6b65\u70ed\u6e90\u79fb\u52a8\u8ddd\u79bb \u2264 \u6700\u5c0f\u7f51\u683c\u5c3a\u5bf8\u7684 1\/2~1\/3<\/strong>\u3002\u4f8b\u5982\u710a\u63a5\u901f\u5ea6 v=5 mm\/s\u3001\u7f51\u683c\u5c3a\u5bf8 1 mm\uff0c\u5219\u65f6\u95f4\u589e\u91cf \u0394t \u5e94\u53d6 0.05~0.1 s \u91cf\u7ea7\u3002\u710a\u7f1d\u9644\u8fd1\u7f51\u683c\u8981\u8db3\u591f\u7ec6\uff080.5~1 mm\uff09\uff0c\u8fdc\u79bb\u710a\u7f1d\u5904\u53ef\u9010\u6b65\u8fc7\u6e21\u7c97\u5316\u4ee5\u8282\u7701\u8ba1\u7b97\u91cf\u3002<\/p>\n \u6750\u6599\u5c5e\u6027\uff08\u70ed\u5bfc\u7387\u3001\u6bd4\u70ed\u3001\u5bc6\u5ea6\u3001\u5f39\u6027\u6a21\u91cf\u3001\u5c48\u670d\u5e94\u529b\u3001\u70ed\u81a8\u80c0\u7cfb\u6570\uff09\u5fc5\u987b\u4ece\u5ba4\u6e29\u4e00\u76f4\u5b9a\u4e49\u5230\u7194\u70b9\u4ee5\u4e0a\u3002\u9ad8\u6e29\u533a\u6750\u6599\u5f3a\u5ea6\u6025\u5267\u4e0b\u964d\uff0c\u63a5\u8fd1\u7194\u70b9\u65f6\u5c48\u670d\u5e94\u529b\u5e94\u8d8b\u8fd1\u4e8e\u4e00\u4e2a\u5f88\u5c0f\u7684\u503c\uff08\u5982 10 MPa\uff09\uff0c\u5426\u5219\u7194\u6c60\u533a\u57df\u4f1a\u4ea7\u751f\u4e0d\u771f\u5b9e\u7684\u5e94\u529b\u3002\u6bd4\u70ed\u5bb9\u5728\u76f8\u53d8\u6e29\u5ea6\u9644\u8fd1\u53ef\u8bbe\u7f6e\u4e00\u4e2a\u5c16\u5cf0\u6765\u8fd1\u4f3c\u8003\u8651\u6f5c\u70ed\u3002<\/p>\n \u70ed\u5206\u6790\u4e2d\u7528 \u70ed\u5206\u6790\u7528\u4e00\u9636\u70ed\u4f20\u9012\u5355\u5143 DC3D8<\/strong>\uff0c\u5e94\u529b\u5206\u6790\u7528\u4e00\u9636\u5b9e\u4f53\u5355\u5143 C3D8<\/strong>\uff08\u6216 C3D8R \u51cf\u7f29\u79ef\u5206\uff09\u3002\u4e24\u5957\u5206\u6790\u5efa\u8bae\u4f7f\u7528\u76f8\u540c\u7f51\u683c<\/strong>\uff0c\u4ee5\u4fbf\u6e29\u5ea6\u573a\u901a\u8fc7\u9884\u5b9a\u4e49\u573a\u51c6\u786e\u6620\u5c04\u3002<\/p>\n \u4e0b\u9762\u662f\u57fa\u4e8e\u5b98\u65b9\u63a5\u53e3\u5b9e\u73b0\u7684 Goldak \u53cc\u692d\u7403\u79fb\u52a8\u70ed\u6e90\u5b50\u7a0b\u5e8f\uff0c\u710a\u63a5\u65b9\u5411\u6cbf X \u8f74\u6b63\u5411\uff1a<\/p>\n \u4ee3\u7801\u8981\u70b9\uff1a\u901a\u8fc7 \u8bf4\u660e\uff1a \u8bf4\u660e\uff1a \u4eff\u771f\u7ed3\u679c\u7684\u53ef\u4fe1\u5ea6\u9700\u8981\u901a\u8fc7\u9a8c\u8bc1\u6765\u4fdd\u8bc1\u3002\u5e38\u89c1\u7684\u9a8c\u8bc1\u624b\u6bb5\u5305\u62ec\uff1a<\/p>\n \u5178\u578b\u7684\u710a\u63a5\u6e29\u5ea6\u573a\u4eff\u771f\u7ed3\u679c\u5982\u4e0b\u56fe\u6240\u793a\uff0c\u7194\u6c60\u533a\u57df\u8fbe\u5230\u5cf0\u503c\u6e29\u5ea6\uff0c\u6cbf\u710a\u63a5\u65b9\u5411\u5448\u73b0\u660e\u663e\u7684\u6e29\u5ea6\u68af\u5ea6\uff0c\u70ed\u6e90\u540e\u65b9\u4e3a\u9010\u6e10\u51b7\u5374\u7684\u5c3e\u8ff9\u3002<\/p>\n \u6b8b\u4f59\u5e94\u529b\u5206\u5e03\u7684\u4e00\u822c\u89c4\u5f8b\u662f\uff1a\u710a\u7f1d\u53ca\u8fd1\u7f1d\u533a\u7eb5\u5411\u6b8b\u4f59\u62c9\u5e94\u529b\u63a5\u8fd1\u6750\u6599\u5c48\u670d\u5f3a\u5ea6\uff0c\u8fdc\u79bb\u710a\u7f1d\u9010\u6e10\u8870\u51cf\u5e76\u8f6c\u4e3a\u538b\u5e94\u529b\uff0c\u6574\u4f53\u6ee1\u8db3\u81ea\u5e73\u8861\u6761\u4ef6\u3002\u8fd9\u4e00\u89c4\u5f8b\u4e0e\u5927\u91cf\u6587\u732e\u62a5\u9053\u53ca\u5de5\u7a0b\u5b9e\u6d4b\u4e00\u81f4\u3002<\/p>\n \u710a\u63a5\u6b8b\u4f59\u5e94\u529b\u4eff\u771f\u7684\u6838\u5fc3\u53ef\u5f52\u7eb3\u4e3a\u56db\u53e5\u8bdd\uff1a\u65b9\u6cd5\u4e0a\u7528\u987a\u5e8f\u70ed\u529b\u8026\u5408\uff0c\u70ed\u6e90\u4e0a\u7528 Goldak \u53cc\u692d\u7403 DFLUX\uff0c\u6750\u6599\u4e0a\u8986\u76d6\u5168\u6e29\u5ea6\u8303\u56f4\uff0c\u7f51\u683c\u65f6\u95f4\u589e\u91cf\u4e0a\u4fdd\u8bc1\u70ed\u6e90\u5e73\u7a33\u79fb\u52a8<\/strong>\u3002\u638c\u63e1\u8fd9\u6761\u4e3b\u7ebf\uff0c\u518d\u7ed3\u5408\u5bf9\u6d41\/\u8f90\u5c04\u8fb9\u754c\u3001\u6536\u655b\u63a7\u5236\u548c\u7ed3\u679c\u9a8c\u8bc1\uff0c\u5c31\u80fd\u642d\u5efa\u8d77\u53ef\u9760\u7684\u710a\u63a5\u4eff\u771f\u6d41\u7a0b\u3002<\/p>\n \u710a\u63a5\u4eff\u771f\u6d89\u53ca\u5de5\u827a\u53c2\u6570\u4f17\u591a\u3001\u975e\u7ebf\u6027\u5f3a\u3001\u8c03\u8bd5\u5468\u671f\u957f\uff0c\u521d\u5b66\u8005\u5e38\u5728\u70ed\u6e90\u53c2\u6570\u6807\u5b9a\u3001\u6536\u655b\u53d1\u6563\u3001\u6750\u6599\u6570\u636e\u7f3a\u5931\u7b49\u73af\u8282\u5361\u58f3\u3002\u5efa\u8bae\u4ece\u7b80\u5355\u7684\u5355\u9053\u5e73\u677f\u5806\u710a\u5165\u624b\uff0c\u5148\u8dd1\u901a\u6e29\u5ea6\u573a\u5e76\u9a8c\u8bc1\u7194\u6c60\u5f62\u72b6\uff0c\u518d\u53e0\u52a0\u5e94\u529b\u5206\u6790\uff0c\u9010\u6b65\u6269\u5c55\u5230\u591a\u9053\u710a\u4e0e\u590d\u6742\u7ed3\u6784\u3002<\/p>\n \u53c2\u8003\u6587\u732e<\/strong><\/p>\n Abaqus \u710a\u63a5\u6b8b\u4f59\u5e94\u529b\u4eff\u771f\uff1a\u987a\u5e8f\u70ed\u529b\u8026\u5408\u4e0e DFLUX \u79fb\u52a8\u70ed\u6e90\u5b9e\u6218 \u710a\u63a5\u662f\u5236\u9020\u4e0e\u7ed3\u6784\u5de5\u7a0b\u4e2d\u6700\u5e38\u89c1\u7684\u8fde\u63a5\u5de5 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-383","post","type-post","status-publish","format-standard","hentry","category-abaqus"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/383","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=383"}],"version-history":[{"count":0,"href":"https:\/\/numsimlab.com\/index.php?rest_route=\/wp\/v2\/posts\/383\/revisions"}],"wp:attachment":[{"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=383"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=383"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/numsimlab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=383"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
<\/figure>\n
2.2 Goldak \u53cc\u692d\u7403\u79fb\u52a8\u70ed\u6e90\u6a21\u578b<\/h3>\n
q_f(x,y,z) = (6\u00b7\u221a3 \u00b7 f_f \u00b7 Q \u00b7 \u03b7) \/ (a\u00b7b\u00b7c_f \u00b7 \u03c0\u00b7\u221a\u03c0) \u00b7 exp( -3\u00b7(x\u00b2\/a\u00b2 + y\u00b2\/b\u00b2 + z\u00b2\/c_f\u00b2) )<\/code><\/pre>\nq_r(x,y,z) = (6\u00b7\u221a3 \u00b7 f_r \u00b7 Q \u00b7 \u03b7) \/ (a\u00b7b\u00b7c_r \u00b7 \u03c0\u00b7\u221a\u03c0) \u00b7 exp( -3\u00b7(x\u00b2\/a\u00b2 + y\u00b2\/b\u00b2 + z\u00b2\/c_r\u00b2) )<\/code><\/pre>\n<\/figure>\n
\u4e09\u3001\u5b98\u65b9\u6587\u6863\u89e3\u8bfb\uff1aDFLUX \u5b50\u7a0b\u5e8f\u63a5\u53e3<\/h2>\n
SIMACAESUBRefMap\/simasub-c-dflux.htm<\/code>\uff09\uff0cDFLUX \u7528\u4e8e\u5b9a\u4e49\u70ed\u4f20\u9012\u6216\u8d28\u91cf\u6269\u6563\u5206\u6790\u4e2d\u7684\u975e\u5747\u5300\u5206\u5e03\u70ed\u6d41\uff08nonuniform distributed flux\uff09\uff0c\u53ef\u8868\u793a\u4e3a\u4f4d\u7f6e\u3001\u65f6\u95f4\u3001\u6e29\u5ea6\u3001\u5355\u5143\u53f7\u3001\u79ef\u5206\u70b9\u53f7\u7b49\u7684\u51fd\u6570\u3002\u5b50\u7a0b\u5e8f\u5728\u6bcf\u4e2a\u70ed\u6d41\u79ef\u5206\u70b9\u88ab\u8c03\u7528\u3002<\/p>\n SUBROUTINE DFLUX(FLUX,SOL,KSTEP,KINC,TIME,NOEL,NPT,COORDS,\n 1 JLTYP,TEMP,PRESS,SNAME)\nC\n INCLUDE 'ABA_PARAM.INC'\nC\n DIMENSION FLUX(2), TIME(2), COORDS(3)\n CHARACTER*80 SNAME\nC\nC user coding to define FLUX(1) and FLUX(2)\nC\n RETURN\n END<\/code><\/pre>\n\n
SIMACAEANLRefMap\/simaanl-c-heattransfer.htm<\/code>\uff09\uff0c\u70ed\u4f20\u9012\u5206\u6790\u53ef\u5305\u542b\u70ed\u4f20\u5bfc\u3001\u8fb9\u754c\u5bf9\u6d41\u4e0e\u8fb9\u754c\u8f90\u5c04\uff0c\u53ef\u4e3a\u77ac\u6001\u6216\u7a33\u6001\u3001\u7ebf\u6027\u6216\u975e\u7ebf\u6027\u3002\u710a\u63a5\u4eff\u771f\u7684\u975e\u7ebf\u6027\u4e3b\u8981\u6765\u6e90\u4e8e\u6750\u6599\u5c5e\u6027\u968f\u6e29\u5ea6\u53d8\u5316\u3001\u6f5c\u70ed\u6548\u5e94\u4ee5\u53ca\u8f90\u5c04\u8fb9\u754c\uff08\u6e29\u5ea6\u8d8a\u9ad8\u975e\u7ebf\u6027\u8d8a\u5f3a\uff09\u3002<\/p>\n<\/figure>\n
\u56db\u3001\u5b9e\u6218\u8981\u70b9\uff1a\u591a\u5e74\u7ecf\u9a8c\u603b\u7ed3\u7684\u5751<\/h2>\n
4.1 \u7f51\u683c\u4e0e\u65f6\u95f4\u589e\u91cf\u7684\u5339\u914d<\/h3>\n
4.2 \u6e29\u5ea6\u76f8\u5173\u6750\u6599\u5fc5\u987b\u8986\u76d6\u5168\u6e29\u5ea6\u8303\u56f4<\/h3>\n
4.3 \u6536\u655b\u63a7\u5236<\/h3>\n
DELTMX<\/code> \u9650\u5236\u5355\u6b65\u6700\u5927\u6e29\u5ea6\u589e\u91cf\uff08\u5982 50\u2103\uff09\uff0c\u9632\u6b62\u70ed\u6e90\u521a\u8fdb\u5165\u65f6\u6e29\u5ea6\u9aa4\u5347\u5bfc\u81f4\u53d1\u6563\u3002\u5e94\u529b\u5206\u6790\u5efa\u8bae\u5f00\u542f NLGEOM=YES<\/code> \u8003\u8651\u5927\u53d8\u5f62\uff0c\u5e76\u4f7f\u7528\u8f83\u5c0f\u7684\u521d\u59cb\u589e\u91cf\u6b65\u914d\u5408\u81ea\u52a8\u589e\u91cf\u3002\u6b8b\u4f59\u5e94\u529b\u5206\u6790\u4e2d\u521a\u4f53\u4f4d\u79fb\u5fc5\u987b\u5145\u5206\u7ea6\u675f\uff0c\u4f46\u7ea6\u675f\u65b9\u5f0f\u4e0d\u80fd\u5f15\u5165\u9644\u52a0\u5e94\u529b\uff08\u63a8\u8350\u5bf9\u79f0\u8fb9\u754c\u6216\u6700\u5c0f\u7ea6\u675f\uff09\u3002<\/p>\n4.4 \u5355\u5143\u9009\u62e9<\/h3>\n
\u4e94\u3001Abaqus \u5b9e\u73b0\uff1aDFLUX \u5b50\u7a0b\u5e8f\u4e0e INP \u5173\u952e\u5b57<\/h2>\n
5.1 Goldak \u53cc\u692d\u7403 DFLUX \u5b8c\u6574\u5b9e\u73b0<\/h3>\n
SUBROUTINE DFLUX(FLUX,SOL,KSTEP,KINC,TIME,NOEL,NPT,COORDS,\n 1 JLTYP,TEMP,PRESS,SNAME)\nC\n INCLUDE 'ABA_PARAM.INC'\nC\n DIMENSION FLUX(2), TIME(2), COORDS(3)\n CHARACTER*80 SNAME\nC\n REAL*8 Q, ETA, V, A, B, CF, CR\n REAL*8 X0, Y0, Z0, XC, YC, ZC\n REAL*8 FF, FR, PI\n REAL*8 DX, DY, DZ, R2\nC\n PARAMETER (PI=3.14159265358979D0)\nC\nC === \u710a\u63a5\u5de5\u827a\u53c2\u6570\uff08\u6309\u5b9e\u9645\u5de5\u827a\u4fee\u6539\uff09===\n Q = 3000.0D0 ! \u70ed\u8f93\u5165(W) = \u7535\u538b*\u7535\u6d41\n ETA = 0.8D0 ! \u70ed\u6548\u7387(MIG\u710a\u7ea60.8)\n V = 5.0D0 ! \u710a\u63a5\u901f\u5ea6(mm\/s)\n A = 5.0D0 ! \u710a\u63a5\u65b9\u5411\u534a\u957f\u8f74(mm)\n B = 4.0D0 ! \u692d\u7403\u534a\u5bbd(mm)\n CF = 1.0D0 ! \u524d\u534a\u692d\u7403\u6df1\u5ea6\u53c2\u6570\n CR = 2.0D0 ! \u540e\u534a\u692d\u7403\u6df1\u5ea6\u53c2\u6570\nC\n X0 = 0.0D0 ! \u8d77\u59cb\u70b9\u5750\u6807\n Y0 = 0.0D0\n Z0 = 0.0D0\nC\nC === \u5f53\u524d\u65f6\u523b\u70ed\u6e90\u4e2d\u5fc3\u4f4d\u7f6e ===\n XC = X0 + V * TIME(1)\n YC = Y0\n ZC = Z0\nC\nC === \u79ef\u5206\u70b9\u76f8\u5bf9\u70ed\u6e90\u4e2d\u5fc3\u7684\u8ddd\u79bb ===\n DX = COORDS(1) - XC\n DY = COORDS(2) - YC\n DZ = COORDS(3) - ZC\nC\nC === Goldak \u53cc\u692d\u7403\u70ed\u6d41\u5bc6\u5ea6 ===\n IF (DX .GE. 0.0D0) THEN\nC \u524d\u534a\u692d\u7403\uff08\u70ed\u6e90\u524d\u65b9\uff09\n FF = 2.0D0 * CF \/ (CF + CR)\n R2 = (DX\/A)**2 + (DY\/B)**2 + (DZ\/CF)**2\n FLUX(1) = FF * 6.0D0*SQRT(3.0D0) * Q * ETA\n 1 \/ (A*B*CF * PI*SQRT(PI))\n 2 * EXP(-3.0D0 * R2)\n ELSE\nC \u540e\u534a\u692d\u7403\uff08\u70ed\u6e90\u540e\u65b9\uff09\n FR = 2.0D0 * CR \/ (CF + CR)\n R2 = (DX\/A)**2 + (DY\/B)**2 + (DZ\/CR)**2\n FLUX(1) = FR * 6.0D0*SQRT(3.0D0) * Q * ETA\n 1 \/ (A*B*CR * PI*SQRT(PI))\n 2 * EXP(-3.0D0 * R2)\n END IF\nC\n FLUX(2) = 0.0D0 ! dq\/dT = 0\nC\n RETURN\n END<\/code><\/pre>\nTIME(1)<\/code> \u8ba1\u7b97\u70ed\u6e90\u4e2d\u5fc3\u77ac\u65f6\u4f4d\u7f6e XC<\/code>\uff0c\u518d\u7528 COORDS<\/code> \u6c42\u79ef\u5206\u70b9\u76f8\u5bf9\u4f4d\u7f6e\uff1b\u6839\u636e DX<\/code> \u6b63\u8d1f\u5207\u6362\u524d\/\u540e\u692d\u7403\u516c\u5f0f\uff1bFLUX(2)=0<\/code> \u8868\u793a\u70ed\u6d41\u4e0d\u968f\u6e29\u5ea6\u53d8\u5316\u3002<\/p>\n5.2 \u70ed\u4f20\u9012\u5206\u6790 INP \u5173\u952e\u5b57<\/h3>\n
** \u70ed\u4f20\u9012\u5206\u6790\u6b65\n*STEP, NAME=HeatTransfer, NLGEOM=NO, INC=10000\n*HEAT TRANSFER, TRANSIENT, DELTMX=50.\n0.01, 10., 1e-5, 0.01\n**\n** \u65bd\u52a0\u4f53\u70ed\u6d41\uff08\u8c03\u7528DFLUX\u5b50\u7a0b\u5e8f\uff09\n*DFLUX\nWELD_SET, BFNU, 1.0\n**\n** \u5bf9\u6d41\u8fb9\u754c\u6761\u4ef6\n*FILM\nSURF_ALL, F1, 25., 1e-5\n**\n** \u8f90\u5c04\u8fb9\u754c\u6761\u4ef6\n*RADIATE\nSURF_ALL, R1, 25., 0.8\n**\n** \u6e29\u5ea6\u8f93\u51fa\u8bf7\u6c42\n*NODE OUTPUT\nNT\n*END STEP<\/code><\/pre>\nWELD_SET<\/code> \u662f\u65bd\u52a0\u4f53\u70ed\u6d41\u7684\u5355\u5143\u96c6\uff1bBFNU<\/code> \u8868\u793a\u975e\u5747\u5300\u4f53\u70ed\u6d41\uff0c\u4f1a\u89e6\u53d1 DFLUX \u5b50\u7a0b\u5e8f\uff08JLTYP=1\uff09\uff1bDELTMX=50.<\/code> \u9650\u5236\u6700\u5927\u6e29\u5ea6\u589e\u91cf\u9632\u6b62\u53d1\u6563\uff1b\u65f6\u95f4\u589e\u91cf 0.01 s \u9700\u6839\u636e\u710a\u63a5\u901f\u5ea6\u4e0e\u7f51\u683c\u5c3a\u5bf8\u8c03\u6574\u3002<\/p>\n5.3 \u987a\u5e8f\u8026\u5408\u5e94\u529b\u5206\u6790 INP \u5173\u952e\u5b57<\/h3>\n
** \u5e94\u529b\u5206\u6790\u6b65\n*STEP, NAME=Stress, NLGEOM=YES, INC=10000\n*STATIC\n0.01, 10., 1e-6, 0.1\n**\n** \u5bfc\u5165\u70ed\u4f20\u9012\u5206\u6790\u7684\u6e29\u5ea6\u573a\n*PREDEFINED FIELD, TYPE=TEMPERATURE, FILE=heat_transfer_job\n**\n** \u6e29\u5ea6\u76f8\u5173\u5f39\u6027\u5c5e\u6027\n*ELASTIC\n210000., 0.3, 20.\n190000., 0.3, 200.\n150000., 0.3, 600.\n50000., 0.3, 1000.\n10000., 0.3, 1500.\n**\n*EXPANSION\n1.2e-5, 20.\n1.3e-5, 200.\n1.5e-5, 600.\n2.0e-5, 1000.\n**\n*PLASTIC\n250., 0.0, 20.\n200., 0.0, 200.\n100., 0.0, 600.\n50., 0.0, 1000.\n10., 0.0, 1500.\n**\n** \u8f93\u51fa\u8bf7\u6c42\n*NODE OUTPUT\nU, RF\n*ELEMENT OUTPUT\nS, E, PEEQ\n*END STEP<\/code><\/pre>\nFILE=heat_transfer_job<\/code> \u5bf9\u5e94\u70ed\u4f20\u9012\u5206\u6790\u7684 job \u540d\uff1b\u6750\u6599\u5c5e\u6027\u5fc5\u987b\u8986\u76d6\u5ba4\u6e29\u5230\u7194\u70b9\u4ee5\u4e0a\u7684\u5b8c\u6574\u8303\u56f4\uff1b\u9ad8\u6e29\u65f6\u5c48\u670d\u5e94\u529b\u8d8b\u8fd1\u4e8e\u96f6\u662f\u7269\u7406\u771f\u5b9e\uff0c\u4e0d\u80fd\u7701\u7565\uff1b\u5efa\u8bae NLGEOM=YES<\/code> \u8003\u8651\u5927\u53d8\u5f62\u3002<\/p>\n\u516d\u3001\u7ed3\u679c\u9a8c\u8bc1<\/h2>\n
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\u4e03\u3001\u603b\u7ed3<\/h2>\n
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