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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
渭北地区中更新世黄土的压电性试验研究
  • Title

    Experimental study of the piezoelectricity of Middle Pleistocene loess in the Weibei region, China

  • 作者

    井彦林刘杰刘清颖段晓晓谢娜杨登科

  • Author

    JING Yanlin;LIU Jie;LIU Qingying;DUAN Xiaoxiao;XIE Na;YANG Dengke

  • 单位

    西安培华学院 智能科学与工程学院长安大学 建筑工程学院

  • Organization
    School of Intelligent Science and Engineering, Xi’an Peihua University
    School of Civil Engineering, Chang’an University
  • 摘要
    背景

    石英为最早被发现的压电材料,石英的压电性在工业、军事及人们的日常生活等方面均得到了广泛应用。黄土在世界上分布较广,其主要矿物成分为石英,石英质量分数为37.0%~69.9%,但目前国内外对黄土的压电性少有研究。

    方法

    为了探讨黄土的压电性,以陕西渭北黄土塬${mathrm{Q}}_2^{{mathrm{eol}}} $黄土为研究对象,对其压电系数进行测定,并对黄土在静力作用下及振动作用下的压电电压进行试验研究。

    结果和结论

    结果表明:黄土具有压电性。基于黄土的压电性,可制作压电式电池,也可进行压电式发电。黄土的压电性与其厚度无关,与干密度、含水率相关。干密度越小、含水率越高,压电性越强,压电系数越大,反之,压电系数越小;黄土在天然密度及天然含水率状态下,其压电系数为16.1 pC/N。在静力作用下,压电电压信号为正弦波,波形较规则,电压频率10 MHz,周期100 ns。静力作用下压电电压可达到0.6 V以上;多个试样串联连接,则电压值累加式增高。在振动作用下,黄土压电电压显著增高,且在不同的振动频率作用下电压不同,共振作用下压电电压最高,共振时单个黄土试样电压最大值超过2.1 V。在振动及上部荷载双重作用下,以(黄土)压电式电池替代传统汽车电池的可行性研究无疑是一个备受关注的课题,同时,基于黄土的压电性,在黄土地区进行土壤湿度、地震活动监测以及卓越周期测试等方面的研究颇具理论和实际意义,研究成果可为上述研究提供重要参考和借鉴。

  • Abstract
    Objective

    Quartz, the piezoelectric material discovered the earliest, has found widespread applications in industry, military fields, and daily life due to its piezoelectricity. The widely distributed loess worldwide is composed primarily of quartz, accounting for 37.0% to 69.9%. However, there is a lack of studies on the piezoelectricity of loess both domestically and internationally.

    Methods

    This study investigated the ${mathrm{Q}}_2^{{mathrm{eol}}} $ loess from the Weibei Loess Tableland in Shaanxi Province as an example to explore the piezoelectricity of loess. The piezoelectric coefficient of the loess was measured, and its piezoelectric voltage under the action of static loading and vibration was investigated using experiments

    Results and Conclusions

    The results indicate that loess exhibits piezoelectricity. Based on this characteristic, loess can be used for developing piezoelectric cells and conduct piezoelectric power generation. The piezoelectricity of loess is related to its dry density and moisture content rather than its thickness. Loess with lower dry density and higher moisture content exhibits stronger piezoelectricity and a higher piezoelectric coefficient; and vice versa. Under the conditions of natural density and moisture content, loess exhibits a piezoelectric coefficient of 16.1 pC/N. Under the action of static loading, the piezoelectric voltage signals of the loess appeared as a sine wave with regular waveforms, a frequency of 10 MHz, a period of 100 ns, and piezoelectric voltage exceeding 0.6 V. When multiple loess samples were connected in series, the voltage increased cumulatively. Under the action of vibration, the piezoelectric voltage of the loess increased significantly. It variedunder different vibration frequencies and peaked under resonance, with the maximum voltage of a single loess sample exceeding 2.1 V. Investigating the feasibility of replacing traditional car batteries with loess-based piezoelectric cells under the combined action of vibration and upper load is undoubtedly a topic of great interest. Furthermore, research based on the piezoelectricity of loess in loess regions, including soil moisture monitoring, seismic activity monitoring, and predominant period determination, holds great theoretical and practical significance. The results of this study could serve as a valuable reference for these research in loess areas.

  • 关键词

    黄土压电性影响因素正弦波压电式发电汽车电池

  • KeyWords

    loess;piezoelectricity;influential factor;sine wave;piezoelectric power generation;automobile battery

  • 基金项目(Foundation)
    国家自然科学基金项目(41472267);西安培华学院校级科研项目(PHKT2302)
  • DOI
  • 引用格式
    井彦林,刘杰,刘清颖,等. 渭北地区中更新世黄土的压电性试验研究[J]. 煤田地质与勘探,2025,53(1):184−192.
  • Citation
    JING Yanlin,LIU Jie,LIU Qingying,et al. Experimental study of the piezoelectricity of Middle Pleistocene loess in the Weibei region, China[J]. Coal Geology & Exploration,2025,53(1):184−192.
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    • 黄土试样粒径分布曲线

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