|
關(guān)于我們
 書單推薦 新書推薦 |
煤巖破壞電磁輻射效應(yīng)及其應(yīng)用 
定 價：138 元
9 7 4 8 7 7 6 0 3 3 1 0 9 讀者對象:本書適用于從事煤巖動力災(zāi)害現(xiàn)象、電磁天線測試及分析、巖土工程等領(lǐng)域研究的科技工作者 
本書是在大量實驗室實驗和現(xiàn)場實驗的基礎(chǔ)上，結(jié)合信號處理、損傷力學(xué)、物理化學(xué)和電磁動力學(xué)等多學(xué)科的理論研究，比較系統(tǒng)地論述了煤巖破壞電磁輻射的基本規(guī)律，揭示了煤巖等多孔介質(zhì)破壞過程與電磁輻射信息之間的關(guān)系，建立了三維煤巖力電耦合的損傷力學(xué)模型，對其中的參數(shù)進行了計算，利用該模型和實驗結(jié)果建立了煤巖動力災(zāi)害預(yù)警準則，并提出了對煤巖體應(yīng)力的測試方法；對煤巖體電磁輻射場進行了模擬和驗證。對電磁輻射天線進行了模擬分析和選型，對電磁輻射天線進行了測試分析。同時開發(fā)了礦用高速電磁輻射信號測試及分析系統(tǒng)，對煤礦井下工作面煤巖體和干擾和噪聲電磁輻射信號進行了測試，分析了其頻譜特征；對煤巖樣及煤礦掘進巷道的力電耦合場進行了模擬；在煤礦井下對電磁輻射測試煤巖體應(yīng)力狀態(tài)和預(yù)測煤巖動力災(zāi)害進行了試驗研究，驗證實驗和理論分析結(jié)果。
更多科學(xué)出版社服務(wù)，請掃碼獲取。 
第1章緒論1
1.1礦山煤巖動力災(zāi)害研究進展1 1.1.1煤與瓦斯突出現(xiàn)象1 1.1.2煤與瓦斯突出機理研究現(xiàn)狀2 1.1.3沖擊礦壓機理研究進展8 1.2煤巖電磁效應(yīng)研究現(xiàn)狀11 1.2.1電磁輻射在地震預(yù)報方面研究現(xiàn)狀11 1.2.2煤巖電磁輻射機理研究現(xiàn)狀13 1.2.3煤巖電磁輻射特征研究現(xiàn)狀14 1.2.4電磁輻射預(yù)測預(yù)報煤巖災(zāi)害動力現(xiàn)象研究現(xiàn)狀15 1.2.5目前電磁輻射需要研究的課題17 1.3本書主要研究內(nèi)容18 第2章受載煤巖電磁輻射的試驗研究19 2.1試驗系統(tǒng)、試驗方案及試驗樣品19 2.1.1試驗樣品及其制備方法19 2.1.2試驗系統(tǒng)21 2.1.3試驗研究內(nèi)容23 2.2單軸壓縮電磁輻射特征24 2.2.1單軸壓縮煤巖混凝土電磁輻射的試驗結(jié)果24 2.2.2煤樣受載后快速卸載過程的電磁輻射時序試驗結(jié)果32 2.2.3煤巖樣沖擊過程的電磁輻射特征33 2.2.4煤巖摩擦過程的電磁輻射特征35 2.3組合煤巖破壞過程的電磁輻射特征38 2.3.1組合煤巖樣單軸壓縮下應(yīng)力分析38 2.3.2組合煤巖的單軸強度條件分析40 2.3.3受載組合煤巖的電磁輻射試驗結(jié)果41 2.4煤巖電磁輻射幅值規(guī)律45 2.4.1單軸壓縮煤巖混凝土電磁輻射的幅值變化特征45 2.4.2單軸壓縮組合煤巖電磁輻射的幅值變化特征48 2.4.3沖擊過程電磁輻射的強度變化特征50 2.4.4摩擦過程電磁輻射的強度變化特征53 2.5煤巖流變破壞電磁輻射記憶效應(yīng)規(guī)律54 2.5.1循環(huán)加載應(yīng)力的確定54 2.5.2煤巖破壞電磁輻射記憶效應(yīng)試驗結(jié)果55 2.5.3瓦斯、水對煤巖破壞電磁輻射記憶效應(yīng)的影響61 2.6小結(jié)63 第3章含瓦斯煤巖受載破壞電磁輻射試驗研究65 3.1試驗系統(tǒng)及方案65 3.1.1試驗系統(tǒng)65 3.1.2試驗方案70 3.2試樣制備及試驗準備71 3.3煤巖力學(xué)特性及電磁輻射特征72 3.3.1煤巖單軸壓縮破壞力學(xué)特性及電磁輻射特征72 3.3.2含瓦斯煤巖單軸壓縮破壞的變形特征79 3.3.3孔隙瓦斯對煤巖峰值強度的影響81 3.3.4孔隙氣體對煤巖彈性模量的影響83 3.3.5含瓦斯煤巖受載破壞過程中的電磁輻射特征84 3.4小結(jié)88 第4章煤巖電磁輻射信號頻譜特征研究90 4.1組合煤巖電磁輻射試驗研究90 4.1.1組合煤巖樣的制作91 4.1.2單一煤體單軸壓縮電磁輻射信號特征91 4.1.3組合煤巖電磁輻射信號特征93 4.2煤巖變形破壞電磁輻射信號頻譜分析95 4.2.1煤體單軸壓縮電磁輻射信號頻譜分析95 4.2.2組合煤巖變形破壞電磁輻射信號頻譜分析101 4.2.3傅里葉譜與功率譜的對比分析112 4.3基于小波變換的電磁輻射信號特征分析112 4.3.1基于小波的電磁輻射信號特征分析的基本方法112 4.3.2煤體單軸壓縮電磁輻射信號小波特征頻譜分析113 4.3.3組合煤巖電磁輻射信號小波特征頻譜分析122 4.3.4頻譜分析與小波分析的結(jié)果比較137 4.4基于希爾伯特黃變換（HHT）電磁輻射頻譜分析137 4.4.1HHT分析法137 4.4.2電磁輻射信號的HHT分析142 4.5小結(jié)158 第5章煤巖電磁輻射信號噪聲頻譜特征及抑制研究159 5.1煤巖電磁輻射信號的傳播途徑159 5.2煤巖電磁輻射信號采集過程噪聲分析160 5.2.1電磁輻射信號實驗室采集過程中噪聲來源160 5.2.2電磁輻射信號現(xiàn)場采集過程中噪聲來源161 5.3煤巖電磁輻射監(jiān)測抗干擾技術(shù)161 5.3.1屏蔽技術(shù)161 5.3.2濾波技術(shù)162 5.4電磁輻射信號的小波降噪方法163 5.4.1小波變換降噪模型和降噪過程163 5.4.2小波變換降噪閾值選取與確定165 5.5基于小波理論的電磁輻射信號降噪167 5.5.1單一煤樣電磁輻射信號的小波去噪167 5.5.2組合煤巖電磁輻射信號的小波去噪171 5.6工作面電磁輻射信號的噪聲抑制技術(shù)177 5.6.1不同噪聲源的電磁輻射信號頻譜特征177 5.6.2工作面電磁輻射信號去噪185 5.7小結(jié)190 第6章煤巖變形破壞電磁輻射的非線性預(yù)測方法192 6.1煤巖破裂過程聲發(fā)射和電磁輻射信號的混沌特征192 6.1.1關(guān)聯(lián)維數(shù)及其計算192 6.1.2聲發(fā)射和電磁輻射信號的混沌特征194 6.2煤巖變形破壞電磁輻射的神經(jīng)網(wǎng)絡(luò)預(yù)測方法研究195 6.3自適應(yīng)BP神經(jīng)網(wǎng)絡(luò)的基本原理及實現(xiàn)步驟196 6.4煤巖變形破裂電磁輻射自適應(yīng)神經(jīng)網(wǎng)絡(luò)預(yù)測原理198 6.4.1電磁輻射參數(shù)時間序列維數(shù)的選定198 6.4.2自適應(yīng)神經(jīng)網(wǎng)絡(luò)預(yù)測原理198 6.5自適應(yīng)神經(jīng)網(wǎng)絡(luò)在煤巖電磁輻射信號預(yù)測中的應(yīng)用199 6.6小結(jié)201 第7章煤巖電磁輻射接收天線特征參數(shù)及模擬研究202 7.1引言202 7.1.1天線定義202 7.1.2天線基本參數(shù)204 7.1.3天線極化波209 7.2煤巖電磁輻射接收天線特征參數(shù)及測量方法210 7.2.1電磁輻射接收天線設(shè)計原則211 7.2.2電磁輻射接收天線基本特性213 7.2.3電磁輻射接收天線參數(shù)測量216 7.3煤巖電磁輻射接收天線模擬技術(shù)220 7.3.1HFSS軟件及其相關(guān)技術(shù)定義220 7.3.2煤巖電磁輻射場仿真研究222 7.3.3電磁輻射接收天線仿真研究227 7.4小結(jié)237 第8章煤巖力電耦合模型及動力災(zāi)害預(yù)警準則239 8.1引言239 8.1.1損傷力學(xué)及其發(fā)展239 8.1.2煤巖強度的統(tǒng)計損傷理論241 8.1.3煤巖材料的損傷力學(xué)模型241 8.1.4基于Weibull分布的煤巖強度統(tǒng)計損傷模型242 8.1.5基于正態(tài)分布的煤巖強度統(tǒng)計損傷模型244 8.1.6三維煤巖力學(xué)損傷本構(gòu)關(guān)系245 8.2煤巖力電耦合的損傷力學(xué)模型247 8.2.1基于電磁輻射脈沖數(shù)的一維煤巖力電耦合模型248 8.2.2基于電磁輻射脈沖數(shù)的三維煤巖力電耦合模型249 8.2.3基于電磁輻射強度的煤巖力電耦合模型252 8.3力電耦合模型相關(guān)參數(shù)計算253 8.3.1力電耦合模型的相關(guān)參數(shù)意義253 8.3.2力電耦合模型參數(shù)的計算方法253 8.3.3計算結(jié)果253 8.4煤巖力電耦合模型的應(yīng)用255 8.4.1煤巖均勻性對電磁輻射的影響255 8.4.2不同圍壓對煤巖電磁輻射的影響256 8.4.3單軸壓縮煤巖樣突然卸載時的電磁輻射特征257 8.4.4循環(huán)加載過程的電磁輻射特征258 8.5礦山煤巖電磁輻射預(yù)警準則259 8.5.1電磁輻射監(jiān)測預(yù)警指標259 8.5.2煤巖動力災(zāi)害電磁輻射預(yù)警準則259 8.5.3預(yù)警臨界值及動態(tài)趨勢系數(shù)的確定261 8.5.4煤巖動力災(zāi)害電磁輻射預(yù)警技術(shù)262 8.6小結(jié)263 第9章電磁輻射監(jiān)測煤巖體應(yīng)力狀態(tài)技術(shù)及應(yīng)用264 9.1電磁輻射評價煤巖體應(yīng)力狀態(tài)技術(shù)原理264 9.2煤巖體前方應(yīng)力區(qū)域電磁輻射評價技術(shù)268 9.2.1掘進工作面應(yīng)力狀態(tài)電磁輻射測試269 9.2.2回采工作面前方應(yīng)力狀態(tài)電磁輻射測試271 9.3采掘應(yīng)力場電磁輻射監(jiān)測評價技術(shù)274 9.3.1掘進巷兩幫應(yīng)力狀態(tài)電磁輻射監(jiān)測技術(shù)274 9.3.2回風(fēng)巷煤壁應(yīng)力狀態(tài)電磁輻射監(jiān)測技術(shù)277 9.4回采工作面周期來壓電磁輻射監(jiān)測技術(shù)278 9.4.1回采工作面前方非接觸式電磁輻射測試結(jié)果278 9.4.2回采工作面非接觸式電磁輻射測試結(jié)果281 9.4.3回采工作面頂板周期來壓鉆孔電磁輻射測試結(jié)果282 9.5小結(jié)285 第10章煤巖電磁輻射監(jiān)測技術(shù)的應(yīng)用研究286 10.1電磁輻射監(jiān)測技術(shù)286 10.2電磁輻射測試裝備287 10.2.1 KBD5便攜式電磁輻射監(jiān)測儀的組成及功能287 10.2.2 KBD7煤巖動力災(zāi)害非接觸電磁輻射監(jiān)測儀292 10.3電磁輻射監(jiān)測技術(shù)在煤與瓦斯突出預(yù)測中的應(yīng)用297 10.3.1 3248運輸聯(lián)巷基本情況297 10.3.2 KBD7電磁輻射監(jiān)測儀測試與分析298 10.3.3電磁輻射的影響因素分析307 10.3.4電磁輻射規(guī)律分析與實施步驟317 10.4電磁輻射監(jiān)測技術(shù)在沖擊礦壓預(yù)測中的應(yīng)用317 10.4.1沖擊礦壓發(fā)生前后的電磁輻射變化規(guī)律319 10.4.2電磁輻射與微震震級間的關(guān)系319 10.5煤巖電磁輻射監(jiān)測技術(shù)發(fā)展趨勢320 10.5.1“智慧線”通信技術(shù)320 10.5.2“智慧線”技術(shù)在煤巖電磁輻射監(jiān)測中的應(yīng)用322 10.6小結(jié)324 參考文獻325 Contents Preface Chapter 1Introduction1 1.1Advances in coal or rock dynamic disasters research1 1.1.1The phenomenon of coal and gas outburst1 1.1.2The review of mechanism of coal and gas outburst 2 1.1.3The review of mechanism of rock burst8 1.2The situation of the electromagnetic emission of coal or rock11 1.2.1The review of electromagnetic emission (EME) in earthquake prediction11 1.2.2The review of EME mechanism of coal or rock13 1.2.3The review of EME characteristics of coal or rock14 1.2.4The review of EME in prediction of coal or rock dynamic disasters15 1.2.5The research topic of EME17 1.3The research contents18 Chapter 2EME experimental study of coal or rock under load19 2.1Experimental system and test plan19 2.1.1Test samples and their preparation method19 2.1.2Experimental system21 2.1.3Experimental research contents23 2.2Characteristics of EME under uniaxial compression24 2.2.1EME experimental results of coal, rock and concrete under uniaxial compressive24 2.2.2EME experimental results of coal during quick uploading32 2.2.3EME characteristics of coal or rock in the impact process33 2.2.4EME characteristics of coal or rock in the friction process35 2.3EME characteristics of coalrock combination fracture38 2.3.1Stress analysis of coalrock combination under uniaxial compression38 2.3.2Strength analysis of coalrock combination under uniaxial compression40 2.3.3EME experimental results of coalrock combination under load41 2.4EME amplitude law of coal or rock45 2.4.1EME amplitude variation of coal, rock and concrete under uniaxial compressive45 2.4.2EME amplitude variation of coalrock combination under uniaxial compressive48 2.4.3EME intensity variation in the impact process50 2.4.4EME intensity variation in the friction process53 2.5EME memory effect law of coal or rock rheological fracture54 2.5.1Cyclic loading stress54 2.5.2EME memory effect experimental results of coal or rock fracture55 2.5.3Influence of gas and water on EME memory effect of coal or rock fracture61 2.6Summary63 Chapter 3EME experimental study of coal or rock containing gas fracture65 3.1Experimental systems and test plan65 3.1.1Experimental system65 3.1.2Experimental plan70 3.2Preparation of samples and experimental71 3.3Mechanical properties and EME characteristics of coal or rock72 3.3.1Mechanical properties and EME characteristics of coal or rock under uniaxial compression72 3.3.2Deformation characteristics of coal containing gas under uniaxial compressive79 3.3.3Influence of pore gas on the peak intensity of coal or rock 81 3.3.4Influence of pore gas on the elastic modulus of coal or rock 83 3.3.5EME characteristics of coal or rock containing gas fracture84 3.4Summary88 Chapter 4EME spectral characteristics of coal or rock90 4.1EME experimental study of coalrock combination90 4.1.1Preparation of coalrock combination samples90 4.1.2EME characteristics of coal under uniaxial compression91 4.1.3EME characteristics of coalrock combination fracture93 4.2EME spectrum analysis of coal or rock fracture95 4.2.1EME spectrum analysis of coal under uniaxial compression95 4.2.2EME spectrum analysis of coalrock combination fracture101 4.2.3Comparison between the Fourier spectrum and power spectrum112 4.3Analysis of EME based on wavelet transform 112 4.3.1Basic analysis method of EME based on wavelet transform112 4.3.2EME wavelet spectrum analysis of coal under uniaxial compression113 4.3.3EME wavelet spectrum analysis of coalrock combination fracture122 4.3.4Comparison between the spectral analysis and wavelet analysis137 4.4EME spectrum analysis based on HilbertHuang Transform (HHT)137 4.4.1HHT Method137 4.4.2HHT analysis of EME142 4.5Summary158 Chapter 5Noise spectral characteristics in EME of coal or rock and its suppression159 5.1EME pathways of coal or rock159 5.2Noise analysis in EME of coal or rock during signal acquisition process 160 5.2.1Noise sources in EME during signal acquisition process at the laboratory160 5.2.2Noise sources in EME during signal acquisition process on site161 5.3Jamming technology of EME monitoring of coal or rock161 5.3.1Shielding technology161 5.3.2Filtering Technology162 5.4Denoising method of EME using wavelet transform163 5.4.1Denoising mode and process using wavelet transform163 5.4.2Threshold of denoising using wavelet transform165 5.5Denoising of EME based on wavelet theory167 5.5.1EME denoising of coal using wavelet transform167 5.5.2EME denoising of coalrock combination using wavelet transform171 5.6Denoising technology of EME in coal face177 5.6.1EME spectral characteristics of different noise sources177 5.6.2Denoising of EME in coal face185 5.7Summary190 Chapter 6EME nonlinear prediction method of coal or rock fracture192 6.1Chaos characteristics of acoustic emission and EME of coal or rock fracture192 6.1.1Correlation dimension and its calculation192 6.1.2Chaos characteristics of acoustic emission and EME194 6.2EME neural network prediction method of coal or rock fracture195 6.3The basic principle and implementation steps of adaptive BP neural network196 6.4Principles of adaptive neural network prediction for EME of coal or rock fracture198 6.4.1Time series dimension of EME parameters198 6.4.2Principles of adaptive neural network prediction198 6.5Applications of adaptive neural network prediction in EME of coal or rock199 6.6Summary201 Chapter 7Characteristic parameters and simulation study of EME receiving antenna of coal or rock202 7.1Introduction202 7.1.1Antenna definition202 7.1.2The basic parameters of antenna204 7.1.3Antenna polarized wave209 7.2Characteristic parameters and measurement of EME receiving antenna of coal or rock210 7.2.1Design principles of EME receiving antenna211 7.2.2Basic characteristics of EME receiving antenna213 7.2.3Parameter measurement of EME receiving antenna216 7.3Simulation technology of EME receiving antenna of coal or rock220 7.3.1HFSS software and its technical definition220 7.3.2EME filed simulation study of coal or rock222 7.3.3Simulation study of EME receiving antenna227 7.4Summary237 Chapter 8Electromechanical coupling model for EME of coal or rock and guidelines of disaster warning239 8.1Introduction239 8.1.1Damage mechanics and its development239 8.1.2Statistical damage theory of coal or rock strength241 8.1.3Damage mechanics model of coal or rock materials241 8.1.4Statistical damage model of coal or rock strength based on the Weibull distribution242 8.1.5Statistical damage theory of coal or rock strength based on normal distribution244 8.1.6Damage Mechanical model of three dimensional coal or rock245 8.2Damage mechanics model of coal or rock based on electromechanical coupling model247 8.2.1D electromechanical coupling model of coal or rock based on the pulses of EME248 8.2.2D electromechanical coupling model of coal or rock based on the pulses of EME249 8.2.3Electromechanical coupling model of coal or rock based on the intensity of EME252 8.3Parameters calculation of electromechanical coupling model 253 8.3.1Parameters significance of electromechanical coupling model253 8.3.2Parameters calculation253 8.3.3Calculation results253 8.4Application of electromechanical coupling model of coal or rock255 8.4.1Influence of the uniformity of coal or rock on the EME255 8.4.2Influence of different confining pressure on the EME of coal or rock256 8.4.3Characteristics of EME when uniaxial compression sudden unloading of coal or rock257 8.4.4Characteristics of EME during cyclic loading258 8.5EME warning criteria of coal or rock259 8.5.1Early warning indicators of EME monitoring259 8.5.2EME warning criteria of coal or rock dynamic disasters259 8.5.3Warning thresholds and dynamic trends coefficients259 8.5.4EME warning technology of coal or rock dynamic disasters 262 8.6Summary263 Chapter 9EME monitoring technology of coal or rock stress and applications264 9.1Technical principles of coal or rock stress evaluation by EME264 9.2EME monitoring technology of stress region in front of coal or rock268 9.2.1EME monitoring of stress state on the excavation face269 9.2.2EME monitoring of stress state in front of working face271 9.3EME monitoring technology of mining stress field274 9.3.1EME monitoring technology of stress state in cutting roadway274 9.3.2EME monitoring technology of stress state in return airway277 9.4EME monitoring technology of cycle pressure in working face278 9.4.1Noncontact monitoring results of EME in front of working face278 9.4.2Noncontact monitoring results of EME in working face281 9.4.3EME monitoring study of periodic roof pressure in working face282 9.5Summary285 Chapter 10Field applications of EME monitoring technology of coal or rock286 10.1EME monitoring technology286 10.2EME monitoring equipment287 10.2.1KBD5 portable EME monitor287 10.2.2KBD7 noncontact EME monitor292 10.3EME monitoring technology in coal and gas outburst prediction297 10.3.1Basic situation of transportation lane297 10.3.2EME test and analysis using KBD7 monitor298 10.3.3Factors analysis of EME307 10.3.4Law analysis and implementation steps of EME313 10.4EME monitoring technology in rock burst prediction317 10.4.1Variation of EME before and after rock burst occurred 317 10.4.2Relationship between EME and magnitude of microseismic319 10.5Trends of EME monitoring technology320 10.5.1“The Smartcable” communication technology320 10.5.2EME monitoring technology based on “The Smartcable”322 10.6Summary324 References325
你還可能感興趣
我要評論
|
