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基于压电陶瓷的地聚合物砂浆强度发展监测研究 被引量:4
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作者 胡鹏兵 陈娟 +3 位作者 孙航 蔡高洁 胡现岳 刘谨宁 《硅酸盐通报》 CAS 北大核心 2021年第9期2905-2910,共6页
将压电陶瓷(PZT)智能骨料成对嵌入地聚合物砂浆试件内部,利用主动感应法监测不同龄期地聚合物砂浆压电应力波信号,将时域信号图分析和小波包能量分析相结合,探讨了压电信号能量变化与地聚合物砂浆强度变化的对应关系。时域信号图分析表... 将压电陶瓷(PZT)智能骨料成对嵌入地聚合物砂浆试件内部,利用主动感应法监测不同龄期地聚合物砂浆压电应力波信号,将时域信号图分析和小波包能量分析相结合,探讨了压电信号能量变化与地聚合物砂浆强度变化的对应关系。时域信号图分析表明,随着地聚合物砂浆养护龄期的增加,压电陶瓷智能电压幅值逐步增加,反映了地聚合物砂浆抗压强度的变化过程。小波包能量分析表明,随龄期的增加,地聚合物砂浆抗压强度变化过程与压电信号幅值计算总能量具有一致性。基于地聚合物砂浆抗压强度试验结果与压电陶瓷应力波所计算的能量值,拟合出地聚合物砂浆强度与压电应力波信号计算总能量的相关函数关系。 展开更多
关键词 压电陶瓷智能骨料 地聚合物砂浆 主动感应法 小波包能量分析 时域信号图 函数关系
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Low latency systolic multipliers for finite field GF(2m) based on irreducible polynomials
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作者 谢佳峰 贺建军 桂卫华 《Journal of Central South University》 SCIE EI CAS 2012年第5期1283-1289,共7页
Systolic implementation of multiplication over GF(2m) is usually very efficient in area-time complexity,but its latency is usually very large.Thus,two low latency systolic multipliers over GF(2m) based on general irre... Systolic implementation of multiplication over GF(2m) is usually very efficient in area-time complexity,but its latency is usually very large.Thus,two low latency systolic multipliers over GF(2m) based on general irreducible polynomials and irreducible pentanomials are presented.First,a signal flow graph(SFG) is used to represent the algorithm for multiplication over GF(2m).Then,the two low latency systolic structures for multiplications over GF(2m) based on general irreducible polynomials and pentanomials are presented from the SFG by suitable cut-set retiming,respectively.Analysis indicates that the proposed two low latency designs involve at least one-third less area-delay product when compared with the existing designs,To the authors' knowledge,the time-complexity of the structures is the lowest found in literature for systolic GF(2m) multipliers based on general irreducible polynomials and pentanomials.The proposed low latency designs are regular and modular,and therefore they are suitable for many time critical applications. 展开更多
关键词 finite field finite field multiplication systolic structure low latency POLYNOMIALS
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