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of Applied Statistics, 25(5)593--,

of Applied Statistics, 25(5)593--,
of Applied Statistics, 25(5)593--,

A Bibliography of the Journal of Applied Statistics

Nelson H.F.Beebe

Center for Scienti?c Computing

Department of Mathematics

University of Utah

Salt Lake City,UT84112

USA

Tel:+18015815254

FAX:+18015851640,+18015814148

E-mail:Beebe@https://www.wendangku.net/doc/9810034377.html,(Internet)

WWW URL:https://www.wendangku.net/doc/9810034377.html,/beebe/

02January1999

Version1.00

Title word cross-reference (r,T)[144].2n[42].4A(c1,c2)r[153].

A m,n[107].B[157].ChSP[153].δ[171].

k≥4[49].m[107].n[107].p[240].T n[107]. U2n[44].W m,n[107].

-[153].-corrected[171].-value[240].

1[9,185].1919-86[237].1990-92[246].

4[81,17].4A[43].

accelerated[203].acceptable[52]. acceptance[232].action[3].

activity[187].actual[186].

adaptive[6,249].address[84].

adequacy[209].adult[76].adverse[202]. age[67,205].Aggregate[237].aging[24]. agreement[157].Akaike[222].

algorithm[45,16].algorithms[107,252]. allocation[135].allowable[147]. alternative[236,251].America[91]. American[102].among[68,72,75,225]. analyses[102].Analysis[3,226,90,219, 81,172,62,124,184,186,237,142,174,28, 194,175,197,122,4,199,71,69,30,251, 178,101,163,229,187,225,73].

analytic[114].Analytical[51,16]. Analyzing[233,82].angle[165].

angles[22].animals[71,74,72].

Annual[12].anomalies[245].

Ansari[107].Ansari-Bradley[107].

anti[187].anti-in?ammatory[187]. Application[125,138,117,35,29,163]. applications[10].applied[33,201]. approach[179,2,51,128,238,188,199, 159,192,26,110,209].approaches[54]. Approximating[13].approximation[16]. area[26].areas[75].ARIMA[233].

array[199].arrays[210].arrival[12].

1

2

Aspects[134,114].Assessing[248,1]. Assessment[38,168].assets[120]. assumption[204].Asymmetric[29,134]. athletes[150].Atlantic[87,12].

attribute[195].auditing[56].

Author[149,200,103].

autocorrelated[243].

autoregression[244].

autoregressive[143].

average[143,147,185].

barnacle[75].

based[156,2,66,175,9,165,209].

Bayes[21,60].

Bayesian[234,121,128,159,40]. Behaviour[56].Bernoulli[128].

Best[196,208].between[2,176,118,22]. Bias[77,215,73].biased[192].biases[86]. biological[123,3].biologists[83].

bird[93,100,98].birds[125,65,73].

black[76].block[219,167].blocking[20]. blocks[160,247].blockwise[226].

bole[119].bootstrap[248,173,226]. Bradley[107].brain[245].brant[76]. breaks[170].breast[168].

breeding[78,99].bridge[213].brief[5]. British[90,252,89].BROWNIE[79]. Burr[145].business[35].

c1[17,52,43,109].c2[17,52,43,109]. Calculating[252].calibration[45]. California[69].Canada[87].cancer[168]. canonical[4].capability[242,182,243]. Cape[70].Capture[94,222,68,100,77, 97,78,84,71,80,85].Capture-

recapture[94,222,68,77,97,78,84,71,85]. Carbon[238].Carlo[154,190].

CART[251].

case[250,124,239,65,170,58,7,229,85]. case-control[7].Catalogue[180]. categories[231].censoring[253,137,206]. ceramic[55].cereal[188].

Chain[207,168,9,52,43,153].

changes[237,233].Chao[131].characteristics[188].chart[114,224,182]. chi[189].chi-square[189].chickpea[26]. Choice[25].Choosing[129].

ChSP[52,17,9,43].ChSP-1[9].

ChSP-4[52,17].ChSP-4A[43].

Class[132,150].Class-size[132].

classi?cation[125,1,6].clearance[53]. cluster[28].clusters[140,175].

coastal[106].coe?cients[57]. cointegration[237].collection[142]. collections[188].combinations[135]. combined[199,204].Combining[215]. comment[111].common[155,99]. communication[46].comparative[45]. comparing[167,175,127].

Comparison[222,96,27,123,79,154,118, 190,22].complete[219,167].

completion[174].complexity[116]. compliance[232].

components[155,37,25,177,197,160,247]. composites[55].compositional[189]. compounds[3].computer[138,39]. computing[107].concepts[10]. concerning[136].concomitant[118]. conditional[32].con?dence[248,154]. conforming[241].confounded[228]. conservation[93,92,83].

Consistent[186,222].constant[91]. constant-e?ort[91].constrained[247]. constraints[25,215].

Construction[41,31,43,153].

consumers[223].consumption[237,223]. Contents[149,200,103].context[184]. continent[91].continent-wide[91]. contingency[231].

Continuous[53,235,15,193,185]. contraceptive[225].

contraceptive-use[225].

Contributions[249].

control[167,114,241,127,7,224,182]. coprotheres[70].corrected[171]. correlated[122,19,229].

correlation[241,4,181].correlations[37]. corrosion[146].cost[51].count[100].

3

covariance[61].covariates[14].CR[80]. criteria[251].criterion[222].

Critical[152,110].cropping[193]. crossover[113].CSP[15,185].

CSP-1[185].CSP-V[15].Cubic[50]. cumulative[119].curve[161,8].

curves[134,115,251].cycle[12,35]. cyclones[12].

Data[114,81,21,93,250,189,82,111,100, 5,252,77,202,66,246,216,139,16,122,7, 4,35,163,226,229,40,106,33,182,243,73]. Data-analytic[114].decision[117]. decisions[60].decks[213].decline[89]. dedi?erentiation[168].degree[40]. Delineating[98].demography[89]. demon[239].departure[231]. dependence[130,35].dependency[72]. Derivation[123].derived[215].

Design[178,227,228,105,55,167,126,203, 9,110].Designing[17].designs[180,42, 54,59,177,160,247,181,48,49].

detect[193].detecting[126].

Detection[112,182,33].

Determination[195].determining[51]. Development[144].diameter[145].

diet[138].di?erent[96].di?cult[94]. digits[176].dimensional[115].

dioxide[238].Direct[240].

directional[21].directions[92,48,49]. discrete[44].Discrimination[24]. dispersal[73].dispersion[197]. Distribution[22,253,162,158,176,216, 171,34,132,145,206,73].

Distributions[155,2,144,218,29,183,44]. district[252].divergence[231].

diverse[187].diversity[188].DNA[175]. domesticus[101].double[31,227].

double-sampling[31,227].doves[90]. drug[202].due[73].duration[35,225]. dynamic[95].

ecology[94,84].economic[238].

Editorial[201].E?ect[20,40,224].e?ective[46].

E?ects[241,90,119,59,161,72,205,233]. E?ciencies[137].e?ciency[156,47,18]. e?cient[208].e?ort[91].

election[252,151].electricity[223].

elm[142].emigration[78,74].

emissions[238].Empirical[21,60]. engineering[146].English[11]. Enhancements[81].

environment[155,82].

Environmental[118,122,210,116]. epidemiological[122].epidemiology[229]. equality[169,23].

error[13,199,61,56,185,38].errors[26]. errors-in-variables[26].estate[117]. estimate[78,79].estimated[77]. estimates[196,96,91,197,208]. Estimating[100,65,97,18,57,76,198,75, 193,183,243,133,16,80].Estimation[216, 177,143,161,19,146,26,61,205,187,85, 21,111,134,63,138,240,20,249,72]. estimator[62,215].

estimators[156,27,6,137].Estonia[99]. Evaluation[251,41,133,188,227].

event[112].evolution[86].

evolutionary[94,83,84].Exact[34,209]. examples[5].Expected[206,123]. experiment[178,206].experimental[55]. experiments[219,105,47,190]. exploratory[4].Exploring[5]. exponential[253,239,144,220].

extension[111].extra[223].

extra-model[223].extracts[187]. Extreme[108,124].extremes[146].

face[148].facial[36].factor[105]. Factorial[181,180,105].failure[58,216]. fair[11].fauna[123].features[36].

female[76].fertility[159].fertilizer[60].?bre[55].?delity[76].Fill[106].

Fill-in[106].?nite[162].?rst[176].

Fisher[218,13].?tting[16].?ve[160]. Fixing[105].Flyway[87].foetens[187]. forecast[215].Forecasting[223,244].

4

forest[145].formed[55].

fraction[241,185].

fractional[180,105,55,178].

Francisco[205].freezing[101].

frontier[18].function[108,132,218,208]. functional[13].functioning[24]. functions[237,158].Further[160].

future[92,95].

gamma[2].Gauge[224].geese[87,74]. Gender[150].generalized[135]. generalizes[8].Genotypic[210]. geographic[76].germplasm[188].

goose[75,85].gradients[122].

Graphical[209,169].graphically[5]. graphs[197].great[96].greater[252].

Gri?on[70].group[180,216,127,4]. group-structured[4].grouping[210]. growth[10,134,244,121,238,161].

gull[69].gulls[99].Gyps[70].gypsy[3]. habitat[125].Health[246].height[246]. heterogeneity[74].heterogeneous[68]. heteroscedasticity[32].Heuristic[16]. Hidalgo[162].Hierarchic[156]. hierarchical[28].hippocampus[245]. histories[80].history[141,86].HIV[205]. homogeneous[114].homosexual[205]. horse[217].horse-race[217].house[101]. Hungarian[88].hunting[90,64].

hybrid[144].hypberbola[8].

hyperbolic[14,19].hypercube[181]. hypotheses[128,80].hypothesis[211]. Identi?cation[228,246,173,148,233]. Identifying[28].image[184,212].

image-warping[212].imperfect[196]. Imperfectly[213].imposing[215]. imprecision[224].improvement[104,55]. increase[112].

Index[149,200,123,214,103].

indexed[113,52,147].

indexes[24,242,243].India[237,170]. indices[91].individual[66,57].individual-based[66].individuals[95]. inference[222,136,40].Inferential[66].

in?ammatory[187].

in?uence[139,211,33,38].in?uential[28]. information[222,13,223,76,9,56]. inspected[185].

inspection[207,53,227,185].

integral[218].intensity[208].Inter[174]. Inter-university[174].interactions[228]. Interpretation[157,37].

interval[111,216,53].intervals[154]. intervention[163].inverse[19]. Investigating[90,215].Investigation[55]. Iranian[246].irregular[216].

isotope[250].isotropic[133].issue[162]. iterative[62].

joint[3].

Kappa[157].Kappa-[157].

knockout[230].Kolmogorov[171]. Kolmogorov-Smirnov[171].Korea[244]. Kullback[9].Kullback-Leibler[9]. landbirds[92].language[11].

large[154,86].lattices[50].law[176,208]. lead[250,34].leaves[142,26].Leibler[9]. lesser[85].level[180,51,105,235,52,233]. levels[124].life[86,203,137].

lifetime[144].lifetimes[155].

likelihood[62,248,111,134,137].

limiting[52].limits[164].Linear[4,135, 196,14,63,119,211,16,7,6,210,38].

list[131].loading[203].Loadings[37]. Local[36,139,211,74,252].location[6]. Log[7].Log-linear[7].logical[11]. logistic[16].long[225].long-term[225]. look[110].Loss[47].lower[220,221]. magnitude[252].major[191]. management[93,92,120,87,117].

MAPS[91].Mark[69,81].

mark-recapture[81].

Mark-resighting[69].marked[92,95].

5

Marking[11].Markov[168,53].

martins[88].matched[41,7].

matching[234].material[51].

MATLAB[82].matrix[61].

Maximum[111,62,134,147,137].

Mean[199].measure[231]. measurement[13,38].

measures[157,159].median[240]. Mediterranean[101].

method[133,169,33].

methodologies[175].

methods[96,212,203].Mexico[162]. migratory[92].Minimum[52,185,165]. missing[106].mist[91].mist-netting[91]. mixed[119].mixed-e?ects[119].

Mixture[247,168,160,225].

mixtures[162].model[222,111,186,13, 63,121,119,223,202,66,128,211,161,70, 71,19,251,61,225,209].modeling[76]. Modelling[162,67,120,158,145,244,7, 110,116].models[108,217,135,68,67,168, 236,57,84,24,64,229,233,85,38].

modi?cation[166].modi?ed[203]. monitor[189].Monte[154,190].

mortality[64].moth[3].

movement[77,75].movements[97]. mover[168].mover-stayer[168].

moving[143].MULT[79].

multi[76,84,242].multi-response[242]. multi-state[76,84].

Multiple[163,128,211,22,220,221]. Multivariate[142,250,5,139,188].

n[109].natal[73].National[246].

natural[136,64].near[209].nest[76]. nested[59,177].netting[91].neutral[18]. noise[143].nominal[231].

Non[230,194,133,119,174,18,167,114, 214,241,4,35,19,190,187,210,38].

non-completion[174].

non-conforming[241].

non-homogeneous[114].

non-linear[119,4,210,38].

non-neutral[18].non-normal[19].Non-parametric[230,133,167,214,35,190,187]. Non-traditional[194].

normal[162,139,218,19,109,221]. normality[250,166].normalization[25]. North[91,102].note[141].

number[27,232].

object[234].observations[28].

observed[123,143].observer[73]. obtained[96].Occam[116].o?s[85].

One[167,252,240].one-sample[240].

One-sided[167].open[81,68].

operating[155].Optimal[135,203,60]. Optimized[107].optimum[51].

order[2,136,11].ordering[196]. orthogonal[160,247].outcomes[217]. outgoing[147].outlier[173,33].

outliers[220,221].outlying[246]. overview[64].

page[103,149,200].paper[162]. parameter[253,248,171].

parameters[216,97].Parametric[229, 133,230,167,214,35,190,187].Part[43]. partial[56].particular[196].Passer[101]. passerines[102,97].patches[126]. Patterns[42,159].percentile[240,132]. performance[150,224,210].

perspective[93,92,95].phase[16]. phenomena[10].photographs[148]. piece[29].piecewise[14].pigeons[90]. pine[121].pinnule[26].

plan[207,235,9,147,227,185].

plans[253,144,15,17,52,43,153,165,227]. plantations[121].plot[178].

point[179,113].points[198,183].

Poisson[136,114].poll[151].

pollution[124,122].polynomial[198]. POPAN[81].POPAN-4[81].

Population[87,96,68,92,95,89,74,69, 205].populations[81,93,98]. Portmanteau[32].posterior[56].

Power[164,190,231,66,208].

Power-divergence-type[231].

6

practitioner[92].precision[40].

predict[119,151].Prediction[58,199]. predictions[2].predictive[156]. predictors[135].preference[125]. principal[37,25,183].prior[56]. probabilities[68,77].

Probability[217,63,131].

problem[239,22].problems[148]. procedure[230].

Procedures[43,153,109,167,241,127]. process[189,55,114,241,143,70,208,182, 243].processes[133,53,242].

product[156].product-based[156]. Productivity[91,104].Pro?le[219]. programme[91].programs[79]. progression[168].progressive[253,206]. promotion[163].properties[66,160,190]. proportion[154].proportions[78]. protocol[210].provided[223].

putative[122].

quality[104,51,123,52,147].

Quantile[197,158,215].quantiles[215]. quantitative[188].questions[84].

quick[41,31,232].

r[43].race[217].radio[71].

radio-tagged[71].rainfall[88].

random[118,59,161,19,206]. randomization[175].

randomized[219,167].ranked[196,118]. ranked-set[196].ranks[32].rare[112]. rate[91,112,56].

rates[136,67,65,174,86,99,101,88]. rating[191].ratio[156,250,248].

ratio-based[156].raw[51].

Raymond[191].razor[116].

reaction[202].recapture[222,81,96,68, 82,94,77,66,97,78,84,71,85]. reconstructing[132].recorded[40]. recoveries[90,65,102,98].

recovery[67,82,70].rectangular[8]. reference[196,142,227].regions[248]. regression[108,14,186,141,63,57,211,198,192,181,61,215,187].

relationship[176,88].relationships[23]. release[66].release-recapture[66]. Reliability[253,54].removals[206]. reparameterization[108].repeated[218]. replicates[209].reporting[67,70]. resident[74].residual[182].

residuals[42,32].resighting[69]. resolution[179].respect[188].

response[57,20,251,8,242].resting[97]. restrictions[136].Return[86,64]. returns[194].Review[184,5,212]. revisited[162,116].richness[100].

Ridge[63].ring[82,98,70,64].

ring-recovery[82,70].ring-return[64]. ringed[65].ringing[90,93].risks[52]. river[123].Roberts[114].

Robust[172,30,110].

Robustness[6,204,23].Role[104].

root[152].roots[170].

rotatability[48,49].Rotation[25].

rules[1].

S[224].Sahel[88].sales[163].same[96]. Sample[31,66,128,154,240,34,190,220]. samples[78,173,221].Sampling[113,195, 253,196,31,207,235,232,138,144,15,118, 9,52,43,153,165,131,147,109,227,185]. San[205].sand[88].

scheme[93,195,11,131].schemes[109]. science[46].scienti?c[46].Scottish[117]. seal[138].Seasonal[159,152].

secondary[78].seemingly[61].

Selecting[2].Selection[68,15,165,147, 222,31,186,128,43,153,251,109].

semi[133,229].semi-parametric[229]. semi-variograms[133].sensory[24]. Separation[64].sequences[175]. sequential[105,127,131].series[152,33]. seroconversion[205].set[196,118]. settlement[236].several[127,169].

shape[218].Shapiro[166].shares[130]. shift[18].shifts[233].Shiryayev[114]. Shiryayev-Roberts[114].shu?ed[213].

7

sided[167].Sideritis[187].sign[167].

sign-type[167].signalling[202].

simple[118,23].Simplicity[116]. simulation[154,30].sine[19].

single[195,235,165].single-level[235]. singular[61].site[76].sites[123].

size[140,31,66,128,132].skip[227].

skip-slot[227].slash[121].Slope[48,49]. slopes[23].slot[227].Small[190,107]. Small-sample[190].Smirnov[171]. Smooth[14].snow[74,85].software[83]. Some[127,35,136,252].sources[179]. South[244].space[140].space-time[140]. sparrows[101].spatial[133,181]. spatially[122].species[27,100].

speci?c[77].splines[14].split[178].

split-plot[178].spoilt[47].sports[191]. square[189,231].squared[199,32]. staggered[59,177].staging[75].

stamp[162].standardized[97].

standing[119].stands[145].Starting[62]. state[76,84].stationary[182].

statistic[189].Statistical[136,46,54,59, 179,222,184,202,174,241,188,148]. statistician[39,95].

statistics[2,104,107,157,201].

stayer[168].stock[194].strati?ed[118]. stress[203].strike[236].

Structural[45,170,237,54,238,23]. structured[4].structures[180].

studies[222,92,97,95,7,86].study[250, 124,65,87,174,58,115,245,30,229,85]. studying[24].subject[174].

Suggestions[92].surface[20]. Surveillance[114,202].

Survey[246,126,191].

Survival[99,72,88,108,90,96,62,67,91, 65,102,77,66,71,80,101,229].

survival-rate[91].sustainable[117]. switching[41,31,232].symmetry[231]. system[155,81,31,130,232].

systems[41,113,76,191].

t[204].tables[43,153,231,109].tagged[71].Taguchi[110].technical[18]. temperatures[101].temporary[78,233]. term[225].Test[236,252,128,240,175, 171,211,166,11,44,32,221].

Testing[140,250,245,80,169,11,137,23]. Tests[220,250,152,59,35,203,164,204, 190].their[156,88].theory[117]. thickness[162].three[96,27,115].

three-dimensional[115].tidal[226]. Tightened[235,109].

tightened-normal-tightened[109]. tightening[31].time[140,152,193,33]. times[216,206].tit[96].

Title[103,149,200].

Title-page[103,149,200].TNT[109]. tolerance[29].tool[4].total[252]. tournaments[230].tracking[214].

trade[85].trade-o?s[85].

traditional[194].tra?c[33]. transformation[129,36,132,19]. Transient[74].transition[77].

transition-speci?c[77].

treatments[167,127].trees[125,119]. trends[193].tropical[12].tumour[168]. turning[198].turnover[97].

two[180,253,130,105,154,171,3,29,23]. two-level[180,105].

two-parameter[253,171].two-piece[29]. two-vote[130].type[167,175,231].

U[204].UK[35].ULM[83].

unbiased[196].uncertainty[248]. undergraduate[174].underground[120]. unequal[131].uniformity[164,44]. unimodal[251].Unit[170,152,22]. univariate[250,183,106].university[174]. unknown[155,140,216,112,164]. Unmasking[221].unrelated[61].

upland[125,117].upper[220,221].

Use[225,184,202,78,84,19].used[101]. useful[108,102].users[225].Uses[93]. Using[189,250,45,252,77,66,55,95,145, 198,98,64,251,215,32].

REFERENCES8

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vacuum-formed[55].validity[66].

value[108,240].values[62,152].

variable[118].variables[207,19,26,165]. variance[172,175,177,197,30].

variances[169].variation[67].

variations[174].variograms[133]. varying[57].Vector[244].vectors[22]. versus[229].veterinary[229].

via[162,250,248,226].Viability[242]. violations[204].

Volume[149,200,119,103].

vote[130,252].voter[130].

warbler[89].warping[212].water[120]. wedding[94].Weibull[2,216,171,206]. weight[246].weighted[136].

weights[215].where[252].wide[91]. Wilcoxon[107].Wilk[166].willow[89]. winners[151].world[150,191].

world-class[150].

X[224].X-S[224].

years[201].yield[121].Youden[239]. young[65].

Zero[232].Zipf[176].

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砂的筛分析试验报告

临沂大学建筑学院 《土木工程材料》试验报告 试验项目: 骨料得筛分析实验 专业班级: 土木工程二班 实验分组第一组 试验地点:试验三区106建筑材料试验室 试验时间: 指导教师: (说明:试验成绩=报告成绩×个人权重,个人权重平局值为1,试验成绩最大为90~100)

骨料得筛分析试验 一、实验目得 测定砂得颗粒级配与粗细程度,作为混过凝土用砂得技术依据 二.主要仪器设备 1、试验筛孔径为5、00mm、 2、50mm、1、25mm、0、63mm、0、315mm、0、16mm、0、175mm得方孔筛,以及筛得底盘与盖各一只。筛框为300m m或200mm。试验筛应满足GB/T6003、2中防筛得规定。 2、天平 3、摇筛机 4、浅盘、硬(软)毛刷、容器、小勺等。 三.实验步骤 1、将试验筛由上至下按孔径大小顺序叠置,加底盘。 2、称取试样500g,倒置孔径为5mm筛内,加盖后,至于摇筛机上摇筛约5min。 3、将整套筛自摇筛机上取下,按孔径大小顺序在洁净浅盘上逐渐进行手筛,至每分钟得筛出量不超过式样得总量得0、1% 。通过得颗粒并入下号筛中,并于下一号筛中得试样一起过筛,每一个筛依次全部筛完为止。 4、分别称量各号筛上得筛余量(精确至1g),及分计筛余量,在计算出分计筛余量得百分率。所有各筛得分计筛余量与底盘中剩余量得总与与与筛分前得试样总量相比,其差值不得超过试样总量得1% ,否则必需重做试验。 四.测定结果 1、计算分计筛余百分率a,即各号筛上得筛余量出以试样总量得百分率(精确至

0、1%)。 2、计算累计筛余百分率A,即各号筛上分计筛余百分率与大于该号筛得各号筛得各号筛上分计筛余百分率得总与(精确至0、1%)。 3、根据各筛得累计筛余百分率A,查表或绘制筛分曲线,评定该试样得颗粒级配分布情况。 4、按下式计算砂得细度模数Mx(精确至0、01),即 Mx= 式中:A1、A2、A3、A4、A5、A6、A7-----依次为5、00、2、50、1、25、 五、总结

砂的筛分析实验

细骨料检验过程讲稿 一、筛分析试验 取回试样,然后将砂样通过10mm筛,并算出筛余百分率。然后称取每份不少于550g的试样两份,分别倒入两个浅盘中,在105±5℃的温度下烘干到恒重,冷却至室温备用。 (1)准确称取烘干试样500g,置于按筛孔大小顺序排列的套筛的最上一只筛(即5mm筛孔筛)上;盖上盖后,用手摇动套筛,筛分时间为5min左右;然后取出套筛,再按筛孔大小顺序,在清洁的浅盘上逐个进行手筛,直至每分钟的筛出量不超过试样总量的0.1%时为止,通过的颗粒并入下一个筛中,并和下一个筛中试样一起过筛,按这样顺序过筛,直至每个筛全部筛完为止。 (2)分别称取各筛筛余量(精确至1g),所有各筛的分计筛余量和底盘中剩余量之和与筛分前砂样总量相比,其差值不得超过1%。 (3)计算分计筛余百分率:各筛上的筛余量除以试样总量的百分率(精确至1.0%)。 (4)计算累计筛余百分率:该筛上的分计筛余百分率与大于该筛的各筛上的分计筛余百分率之总和(精确至1.0%)。 (5)按下式计算砂样的细度模数M x (精确至0.01)。 M x = 1 1 6 5 4 3 2 100 5 ) A A A A A ( A A - -+ + + + 式中:A 1、A 2 、A 3 、A 4 、A 5 、A 6 ——分别为5mm、2.5mm、1.25mm、0.625mm、0.315mm、 0.16mm各筛上的累计筛余百分率。 (6)筛分实验应采用两组砂样平行实验,细度模数以两次实验结果的算术平均值为测定值(精确至0.1)。如两次实验所得的细度模数之差大于0.20时,应重新取样进行实验。 二含泥量检验 1、取烘干的试样一份置于容器中,并注入饮用水,使水面高出砂面约150mm充分拌混均匀后,浸泡2h,然后,用手在水中淘洗试样,使尘屑、淤泥和粘土与砂粒分离,并使之悬浮或溶于水中。缓缓地将浑浊液倒入1.25mm及0.080mm的套筛(1.25mm筛放置上面)上,滤去小于0.080mm的颗粒。试验前筛子的两面应先用水润湿,在整个试验过程中应注意避免砂粒丢失; 2、再次加水于筒中,重复上述过程,直到筒内洗出的水清澈为止; 3、用水冲洗剩留在筛上的细粒。并将0.080mm筛放在水中(使水面略高出筛中砂粒的上表面)来回摇动,以充分洗除小于0.080mm的颗粒。然后将两只筛上剩留的颗粒和筒中已经洗净的试样一并装入浅盘,置于温度为105±5℃的烘箱中烘干至恒重。取出来冷却至室温后,称试样的重量。 计算:

砂筛分实验及数据表格

土木工程材料实验报告 姓名 学号 专业 班级 时间

砂的筛分试验 主要仪器与设备: 1)方孔筛一套(孔径为、、、、、的方孔筛,以及筛的底盘和盖各一个。 2)天平:称取1000 g、感量1 g; 3)摇筛机: 4)烘箱:(105±5)℃ 5)浅盘、毛刷等。 实验步骤: 将试样缩分至1100 g,置于烘箱中在(105±5)℃的温度下烘干到恒重,冷却至室温备用,筛除大于950mm的颗粒,分成大致相等的两份备用。(1)准确称取烘干试样500g,置于按筛孔大小顺序排列的套筛的最上一只筛(即5mm筛孔筛)上;盖上盖后,用手摇动套筛,筛分时间为5min左右;然后取出套筛,再按筛孔大小顺序,在清洁的浅盘上逐个进行手筛,直至每分钟的筛出量不超过试样总量的%时为止,通过的颗粒并入下一个筛中,并和下一个筛中试样一起过筛,按这样顺序过筛,直至每个筛全部筛完为止。 (2)仲裁时,试样在各号筛上的筛余量均不得超过下式的量: m r = 300 d A 式中:m r ——在一个筛上的剩余量; d——筛孔尺寸(mm); A——筛的面积(mm2)。 如果各号筛上的筛余量超过了上式的计算值,应将该筛余试样分成两份,再次进行筛分,并以其筛余量之和作为该筛余量。 (3)分别称取各筛筛余量(精确至1g),所有各筛的分计筛余量和底盘中剩余量之和与筛分前砂样总量相比,其差值不得超过1%。否则须要重新进行试验。 实验结果计算: 1)分计筛余量、分计筛余百分率、累计筛余百分率、细度模数(精确至)该砂为中砂

表1-1 砂的筛分试验结果 分计筛余量mi(g)分计筛余量百分率(m/500)(%)累计筛余量A(%) 筛孔尺寸/(m 4.75 0 0.0 0.0 2.36 66 1 3.2 13.2 1.18 67 13.4 26.6 0.60 91 18.2 44.8 0.30 157 31.4 76.2 0.15 79 15.8 92.0 <0.15 38 7.6 99.6 细度模数Mx 2.5 级配评定按2区评定。各累计筛余百分率均未超出2区规定的范围,级配合格 筛分曲线 总结 本次实验我们最后的累计筛(筛孔尺寸小于)余量达到%.(最后所有筛子和底盘的试样质量=500*%=498试样质量损失小,减少了误差,.主要是因为我们这组,在摇砂之前我们把每个尺寸的筛子称量了,摇砂后再把每个筛子和筛子里面砂一起称量,再计 算。

沥青与沥青混合料试题计算题50道

1、现有三组混凝土试块,试块尺寸都为100mm×100mm×100mm,其破坏荷载(kN)分别为第一组265、255、320;第二组310、295、280;第三组320、220、270,计算三组混凝土试块的抗压强度值。 答:分别比较每组中最大值和最小值与中间值的差是否超过中间值的15%,结果表明: 第一组中只有最大值320超过了中间值的15%,所以直接去中间值260kN,其抗压强度为 f=260×1000÷100×100×0.95=24.7MPa 第二组中最大值与最小值均未超过中间值的15%,所以首先计算平均值,其抗压强度为 f=(310+295+280)÷3×1000÷100×100×0.95=28.0MPa 第三组中最大值与最小值均超过了中间值的15%,所以试验无效。 2、已知某普通水泥混凝土,其水胶比(W/B)为0.45,砂率(SP)为35%,每立方米混凝土用水量M w为185kg,,矿物掺合料粉煤灰的掺量(M f)为水泥用量(M c)的15%,减水剂掺量(M j)为2.5%,假定其每立方米混凝土质量为2400kg,试计算其试验室混凝土配合比?若工地所用砂的含水率为3%,碎石的含水率为1%,求:该混凝土的施工配合比? 答:胶凝材料总质量=M w÷W/B=185÷0.45=411.1kg M c=411.1÷1.15=357.5kg

M f=411.1-357.5=53.6kg 因为,M砂+M石=2400-411.1-185=1830.9 且SP=35% 所以,砂质量M砂=631.4kg,碎石质量M石=1199.5kg 混凝土试验室配合比为水泥:水:粉煤灰:砂:石=357.5:185:53.6:631.4:1199.5(1:0.52:0.15:1.77:3.36) 施工配合比:水泥用量M c =357.5kg 粉煤灰用量M f==53.6kg 砂用量M砂=631.4×(1+ 3%)=650.3kg 石用量M石=1199.5×(1+1%)=1211.5kg 施工配合比为水泥:水:粉煤灰:砂:石=357.5:185:53.6:650.3:1211.5((1:0.52:0.15:1.82:3.39) 3.有一根直径为20mm的HRB335钢筋,其初试标距为断后标距为119.2mm,其断裂位置如下图: 20mm o S 65 .5

砂筛分实验及数据表格

砂筛分实验及数据表格-标准化文件发布号:(9456-EUATWK-MWUB-WUNN-INNUL-DDQTY-KII

土木工程材料实验报告 姓名 学号 专业 班级 时间

砂的筛分试验 1.1主要仪器与设备: 1)方孔筛一套(孔径为4.75mm 、2.36mm 、1.18mm 、0.60mm 、0.30mm 、0.15mm 的方孔筛,以及筛的底盘和盖各一个。 2)天平:称取1000 g 、感量1 g ; 3)摇筛机: 4)烘箱:(105±5)℃ 5)浅盘、毛刷等。 1.2实验步骤: 将试样缩分至1100 g ,置于烘箱中在(105±5)℃的温度下烘干到恒重,冷却至室温备用,筛除大于950mm 的颗粒,分成大致相等的两份备用。(1)准确称取烘干试样500g ,置于按筛孔大小顺序排列的套筛的最上一只筛(即5mm 筛孔筛)上;盖上盖后,用手摇动套筛,筛分时间为5min 左右;然后取出套筛,再按筛孔大小顺序,在清洁的浅盘上逐个进行手筛,直至每分钟的筛出量不超过试样总量的0.1%时为止,通过的颗粒并入下一个筛中,并和下一个筛中试样一起过筛,按这样顺序过筛,直至每个筛全部筛完为止。 (2)仲裁时,试样在各号筛上的筛余量均不得超过下式的量: m r = 300 d A 式中:m r ——在一个筛上的剩余量; d ——筛孔尺寸(mm); A ——筛的面积(mm 2)。

如果各号筛上的筛余量超过了上式的计算值,应将该筛余试样分成两份,再次进行筛分,并以其筛余量之和作为该筛余量。 (3)分别称取各筛筛余量(精确至1g),所有各筛的分计筛余量和底盘中剩余量之和与筛分前砂样总量相比,其差值不得超过1%。否则须要重新进行试验。 1.3实验结果计算: 1)分计筛余量、分计筛余百分率、累计筛余百分率、细度模数(精确至0.1) 该砂为中砂 筛分曲线

沥青表干法

压实沥青混合料密度试验(表干法) 核心提示:压实沥青混合料密度试验(表干法)1、目的与适用范围 1.1表干法适用于测定吸水率不大于25的各种沥青混合料试件,包括I型或较 压实沥青混合料密度试验(表干法) 1、目的与适用范围 1.1表干法适用于测定吸水率不大于25的各种沥青混合料试件,包括I型或较密实的II型沥青混凝土、抗滑表成混合料、沥青玛蹄脂碎石混合料(SMA)试件的毛体积相对密度或毛体积密度。 1.2本方法测定的毛体积密度适用于计算沥青混合料试件的空隙率、矿料间隙率等各项体积指标。 2、仪具与材料 2.1浸水天平或电子秤:当最大称量在3kg以下时,感量不大于0.1g;最大称量3 kg以上时,感量不大于0.5g;最大称量10kg以上时,感量5g,应有测量水中重的挂钩。 2.2网篮 2.3溢流水箱:如图1所示,使用洁净水,有水位溢流装置,保持试件和网篮浸入水中后的水位一定。 2.4试件悬吊装置:天平下方悬吊网篮及试件的装置,吊线应采用不吸水的细尼龙线绳,并有足够的长度。对轮碾成型机成型的板块状试件可用铁丝悬挂。 2.5秒表。 2.6毛巾。 2.7电风扇或烘箱。 3、方法与步骤 3.1选择适宜的浸水天平或电子秤,最大称量应不小于试件质量的1.25倍,且不大于试件质量的5倍。 3.2除去试件表面的浮粒,称取干燥试件的空中质量(ma),根据选择的天平的感量读数,准确至0.1g、0.5g或5g。 3.3挂上网篮,浸入溢流水箱中,调节水位,将天平调平或复零,把试件置于网篮中(注意不要晃动水)浸水中约3min—5min,称取水中质量(mw)。若天平读数持续变化,不能很快达到稳定,说明试件吸水较严重,不适用于此法测定,应改用本规程T0707的蜡封法测定。 3.4从水中取出试件,用洁净柔软的拧干湿毛巾轻轻擦去试件的表面水(不得吸走空隙内的 作业指导书第2页共4页第1版第0次修订 参照规程编号JTJ052—2000 文件代号SYS-120 水),称取试件的表干质量(mf)。

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