基于RSM-BBD的废石-风砂胶结体配合比与强度试验研究

TD853.34; 充填料浆配合比的选择直接决定了充填体的强度及运行成本.根据两种骨料混合堆积密实度试验,得到废石风砂最优配比.利用Design-Expert软件中的Box-Behnken中心组合试验设计及响应面法(RSM)研究了料浆质量分数、水泥用量和骨料配比对充填体不同龄期内无侧限抗压强度的影响规律,建立了以粗骨料胶结体3,7,28 d强度为响应值的三元二次回归模型,并对该模型的适用性进行了验证.试验结果表明,充填体强度不仅受单一因素影响,而且两因素之间的交互作用对强度影响显著.由模型的响应曲面可知,质量分数与骨料配比的交互作用对充填体早期强度影响显著,水泥用量与骨料配比的交互作用对充填体...

Full description

Saved in:
Bibliographic Details
Published in煤炭学报 Vol. 43; no. 3; pp. 694 - 703
Main Authors 付自国, 乔登攀, 郭忠林, 谢锦程, 黄飞, 王佳信
Format Journal Article
LanguageChinese
Published 昆明理工大学 国土资源工程学院,云南 昆明,650093 01.03.2018
Subjects
strength test
SM-BB设计
slurry ratio
prediction model
filling aggregate
料浆配合比
充填骨料
预测模型
RSM-BB design
packing density
强度试验
堆积密实度
Online AccessGet full text
ISSN0253-9993
DOI10.13225/j.cnki.jccs.2017.0806

Cover

Abstract TD853.34; 充填料浆配合比的选择直接决定了充填体的强度及运行成本.根据两种骨料混合堆积密实度试验,得到废石风砂最优配比.利用Design-Expert软件中的Box-Behnken中心组合试验设计及响应面法(RSM)研究了料浆质量分数、水泥用量和骨料配比对充填体不同龄期内无侧限抗压强度的影响规律,建立了以粗骨料胶结体3,7,28 d强度为响应值的三元二次回归模型,并对该模型的适用性进行了验证.试验结果表明,充填体强度不仅受单一因素影响,而且两因素之间的交互作用对强度影响显著.由模型的响应曲面可知,质量分数与骨料配比的交互作用对充填体早期强度影响显著,水泥用量与骨料配比的交互作用对充填体中期强度影响显著,质量分数与水泥用量的交互作用对充填体后期强度显著.通过回归模型及建立的充填材料成本函数,优选出一组料浆配合比,经现场试验满足生产要求.
AbstractList TD853.34; 充填料浆配合比的选择直接决定了充填体的强度及运行成本.根据两种骨料混合堆积密实度试验,得到废石风砂最优配比.利用Design-Expert软件中的Box-Behnken中心组合试验设计及响应面法(RSM)研究了料浆质量分数、水泥用量和骨料配比对充填体不同龄期内无侧限抗压强度的影响规律,建立了以粗骨料胶结体3,7,28 d强度为响应值的三元二次回归模型,并对该模型的适用性进行了验证.试验结果表明,充填体强度不仅受单一因素影响,而且两因素之间的交互作用对强度影响显著.由模型的响应曲面可知,质量分数与骨料配比的交互作用对充填体早期强度影响显著,水泥用量与骨料配比的交互作用对充填体中期强度影响显著,质量分数与水泥用量的交互作用对充填体后期强度显著.通过回归模型及建立的充填材料成本函数,优选出一组料浆配合比,经现场试验满足生产要求.
Abstract_FL The selection of cement-tailings ratio directly determines both the strength of the filling body and the running cost of a mine.The optimum ratio of waste rock and aeolian sand is obtained according to the packing density test of two kinds of mixed aggregates.Using Box-Behnken design and response surface methods (RSM) in Design-Expert software,the influence laws of the slurry concentration,dosage of cement and aggregate ratio on the strength properties of cemented hydraulic fill (CHF) at different ages are studied.Two order polynomial regression model with three factors is established,in which the strengths of 3 days,7 days and 28 days are used as response values.And the suitability of the regression model has been verified.The research shows that the strength of the filling body is not only affected by single factor,and the interaction between the two factors is also significant.According to the response surface,the initial,medium and post strength of backfill body are remarkably affected by the interaction of the slurry mass concentration and aggregate ratio,cement content and aggregate ratio and the slurry mass concentration and cement content respectively.By the regression model and the cost function of backfill materials,a set of optimum slurry mixture ratio is obtained,and the field test has proven that it can meet the requirement of production.
Author 郭忠林
黄飞
王佳信
付自国
乔登攀
谢锦程
AuthorAffiliation 昆明理工大学 国土资源工程学院,云南 昆明,650093
AuthorAffiliation_xml – name: 昆明理工大学 国土资源工程学院,云南 昆明,650093
Author_FL GUO Zhonglin
XIE Jincheng
QIAO Dengpan
FU Ziguo
HUANG Fei
WANG Jiaxin
Author_FL_xml – sequence: 1
  fullname: FU Ziguo
– sequence: 2
  fullname: QIAO Dengpan
– sequence: 3
  fullname: GUO Zhonglin
– sequence: 4
  fullname: XIE Jincheng
– sequence: 5
  fullname: HUANG Fei
– sequence: 6
  fullname: WANG Jiaxin
Author_xml – sequence: 1
  fullname: 付自国
– sequence: 2
  fullname: 乔登攀
– sequence: 3
  fullname: 郭忠林
– sequence: 4
  fullname: 谢锦程
– sequence: 5
  fullname: 黄飞
– sequence: 6
  fullname: 王佳信
BookMark eNotjz1Lw0AYgG-oYFv9C26OF9-7yyV3o239gorgx1wu10SMmoJRdPYDHDQIrYtLCoKgSwehSNR_k3jNv7Cg07M9D08NVaJe5CO0QMAijFK-FFo6OjywQq1jiwJxLRDgVFAVKGdYSslmUS2OQwBmM4dXUatIszxLtnc2caPRMk_XRZaa9B2Xz4kZXk6uxuazn3_3y5v74uH2ZzTIP5LiKyuyl8nosXy7M8OBeR3PoZlAHcX-_D_raG91Zbe5jttbaxvN5TaOCQDFQnAXgAddz3a1LYUjfFsTQoUrlU0EZ67yuSQaFA9o4HCpJOlSx7c9qqgmjNXR4p_3XEWBivY7Ye_sJJoWO8enF950VwADQtkv2Mhi4Q
ClassificationCodes TD853.34
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.13225/j.cnki.jccs.2017.0806
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL Experimental research on mixture proportion and strength of cemented hydraulic fill with waste rock and eolian sand based on RSM-BBD
EndPage 703
ExternalDocumentID mtxb201803012
GrantInformation_xml – fundername: 国家自然科学基金资助项目; 甘肃省科技重大专项计划资助项目
  funderid: (51164016); (1203GKDC003)
GroupedDBID -02
2B.
4A8
5XA
5XC
92H
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CDRFL
CW9
FIJ
GROUPED_DOAJ
IPNFZ
PSX
RIG
TCJ
TGT
U1G
U5L
ID FETCH-LOGICAL-s1002-8857005fdb47c49868e4c112879a418537ae591c0a5f2f659a91d26e4b2a2c133
ISSN 0253-9993
IngestDate Thu May 29 04:05:49 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 3
Keywords strength test
SM-BB设计
slurry ratio
prediction model
filling aggregate
料浆配合比
充填骨料
预测模型
RSM-BB design
packing density
强度试验
堆积密实度
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1002-8857005fdb47c49868e4c112879a418537ae591c0a5f2f659a91d26e4b2a2c133
PageCount 10
ParticipantIDs wanfang_journals_mtxb201803012
PublicationCentury 2000
PublicationDate 2018-03-01
PublicationDateYYYYMMDD 2018-03-01
PublicationDate_xml – month: 03
  year: 2018
  text: 2018-03-01
  day: 01
PublicationDecade 2010
PublicationTitle 煤炭学报
PublicationTitle_FL Journal of China Coal Society
PublicationYear 2018
Publisher 昆明理工大学 国土资源工程学院,云南 昆明,650093
Publisher_xml – name: 昆明理工大学 国土资源工程学院,云南 昆明,650093
SSID ssj0034365
ssib048394982
ssib023167597
ssib012291397
ssib051374103
ssib001105247
ssib046784615
Score 2.292489
Snippet TD853.34; 充填料浆配合比的选择直接决定了充填体的强度及运行成本.根据两种骨料混合堆积密实度试验,得到废石风砂最优配比.利用Design-Expert软件中的Box-Behnken中心组合...
SourceID wanfang
SourceType Aggregation Database
StartPage 694
Title 基于RSM-BBD的废石-风砂胶结体配合比与强度试验研究
URI https://d.wanfangdata.com.cn/periodical/mtxb201803012
Volume 43
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: Directory of Open Access Journals
  issn: 0253-9993
  databaseCode: DOA
  dateStart: 20100101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.doaj.org/
  omitProxy: true
  ssIdentifier: ssj0034365
  providerName: Directory of Open Access Journals
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Na9RAFA-1XvQgfuJn6cE5ldRkJjOZd0x2sxShHrSF3kqSbvyCFez20qMf4EGL0Hrx0oIg6MEehCKr_jddt_0vfO9tukm14MdlmJm8vI958_GbkHnjONd1oTPfWwK3yHXmIr4t3GzJpq7McH0qNCIkSWeHZ2-Zmfng5oJeGDv2qfbX0ko3m85XjzxX8j9exTr0K52S_QfPjphiBebRv5iihzH9Kx-LRAtoiTgSSUCpTW7fmXXjuCmSUACWA6LAB0hENUiqXJGAiBTSUlXkCStFYoVVIjZUE8cCFPNrcgaE1cI2WRQSW5EYEbUEBExjmQ_KaLAWLCwyxJBoNMtCPRqlLHoLM4Cy6qiYKlFKxE9Rn4jFYUqsjLDIUx_0DBaLOlrWOiT2pFqM-h4igVIYAJEjFyxaryIBMnkoKG6RbkSSCAgrEitiT0SSaPHliJsnQqFx_VOJb6t_xbhzMyOkMgcZbmhqO8PCkIdm85BlOLJzamQFZxrsMlRAsxMNO9GrvV9qUmsnIFNRW9koewP49BRdB-HUEUrJBsJmb3hxZLkUSK1chPKqvm4FqjY-VW0RMsNro0s8E3IMid-XSprJea3MOw_vTz_Icwpe74fTuIX4JTY5ox3s_Bm1KW2hEfIcl6ExsvYJg-E3gnVZbU99KSno7KgsKeqCrsq4RiP6reBogGA9gCrWkvYV4l1vhKxUoPhq2FFrlCf-yZIbR9rBJ_E6Rdq5WwONc6edU-VubzIaDt0zztjqvbPOyVoM0HNOs7_Z2-2tlQN38PZZv7c52Pzs7r9bG2w92Xu6M_i6vvt9ff_5q_7rFz-2N3a_rPW_9fq993vbb_Y_vhxsbQw-7Jx35lvJXGPGLa82cZd9xiB8r4QulrIgzNFmY9tBjlsfG0JK4aRUmLY1-LmX6kIWRkMKOGuadpDJVOa-Uhec8c6jTvuiM6kMhCAtHdpTgVa0Zc5SrwCQWQg4Q19yJso2WCynruXFQ868_CeCK86JajRddca7j1fa1xCKd7MJ9v9PWeakMw
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8ERSM-BBD%E7%9A%84%E5%BA%9F%E7%9F%B3-%E9%A3%8E%E7%A0%82%E8%83%B6%E7%BB%93%E4%BD%93%E9%85%8D%E5%90%88%E6%AF%94%E4%B8%8E%E5%BC%BA%E5%BA%A6%E8%AF%95%E9%AA%8C%E7%A0%94%E7%A9%B6&rft.jtitle=%E7%85%A4%E7%82%AD%E5%AD%A6%E6%8A%A5&rft.au=%E4%BB%98%E8%87%AA%E5%9B%BD&rft.au=%E4%B9%94%E7%99%BB%E6%94%80&rft.au=%E9%83%AD%E5%BF%A0%E6%9E%97&rft.au=%E8%B0%A2%E9%94%A6%E7%A8%8B&rft.date=2018-03-01&rft.pub=%E6%98%86%E6%98%8E%E7%90%86%E5%B7%A5%E5%A4%A7%E5%AD%A6+%E5%9B%BD%E5%9C%9F%E8%B5%84%E6%BA%90%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2%2C%E4%BA%91%E5%8D%97+%E6%98%86%E6%98%8E%2C650093&rft.issn=0253-9993&rft.volume=43&rft.issue=3&rft.spage=694&rft.epage=703&rft_id=info:doi/10.13225%2Fj.cnki.jccs.2017.0806&rft.externalDocID=mtxb201803012
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fmtxb%2Fmtxb.jpg