龙门式起重机金属材料的疲劳强度预测外文翻译

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1、 PDF外文：http:/  Fatigue life prediction of the metalwork of a travelling gantry crane V.A. Kopnov  Abstract Intrinsic fatigue curves are applied to a fatigue life prediction problem of the metalwork of a traveling gantry crane. A crane, used in the forest industry, was studied in working co

2、nditions at a log yard, an strain measurements were made. For the calculations of the number of loading cycles, the rain flow cycle counting technique is used. The operations of a sample of such cranes were observed for a year for the average number of operation cycles to be obtained. The fatigue fa

3、ilure analysis has shown that failures some elements are systematic in nature and cannot be explained by random causes.1999 Elsevier Science Ltd. All rights reserved. Key words: Cranes； Fatigue assessment； Strain gauging  1. Introduction  Fatigue failures of elements of the metalwork of tr

4、aveling gantry cranes LT62B are observed frequently in operation. Failures as fatigue cracks initiate and propagate in welded joints of the crane bridge and supports in three-four years. Such cranes are used in the forest industry at log yards for transferring full-length and sawn logs to road train

5、s, having a load-fitting capacity of 32 tons. More than 1000 cranes of this type work at the enterprises of the Russian forest industry. The problem was stated to find the weakest elements limiting the cranes' lives, predict their fatigue behavior, and give recommendations to the manufacturers f

6、or enhancing the fives of the cranes. 2. Analysis of the crane operation   For the analysis, a traveling gantry crane LT62B installed at log yard in the Yekaterinburg region was chosen. The crane serves two saw mills, creates a log store, and transfers logs to or out of road trains. A road pass

7、es along the log store. The saw mills are installed so that the reception sites are under the crane span. A schematic view of the crane is shown in Fig. 1. 1350-6307/99/$一 see front matter  1999 Elsevier Science Ltd. All rights reserved. PII: S 1 3 5 0 一 6307(98) 00041 一 7 A series of assumptio

8、ns may be made after examining the work of cranes: if the monthly removal of logs from the forest exceeds the processing rate, i.e. there is a creation of a log store, the crane  expects work, being above the centre of a formed pile with the grab lowered on the pile stack； when processing excee

9、ds the log removal from the forest, the crane expects work above an operational pile close to the saw mill with the grab lowered on the pile； the store of logs varies； the height of the piles is considered to be a maximum； the store variation takes place from the side opposite to the saw mill； the t

10、otal volume of a processed load is on the average k=1.4 times more than the total volume  of removal  because of additional transfers.  2.1. Removal intensity It is known that the removal intensity for one year is irregular and cannot be considered as a stationary process. The study o

11、f the character of non-stationary flow of road trains at 23 enterprises Sverdlesprom for five years has shown that the monthly removal intensity even for one enterprise essentially varies from year to year. This is explained by the complex of various systematic and random effects which exert an infl

12、uence on removal: weather conditions, conditions of roads and lorry fleet, etc. All wood brought to the log store should, however, be processed within one year. Therefore, the less possibility of removing wood in the season between spring and autumn, the more intensively the wood removal should be p

13、erformed in winter. While in winter the removal intensity exceeds the processing considerably, in summer, in most cases, the more full-length logs are processed than are taken out. From the analysis of 118 realizations of removal values observed for one year, it is possible to evaluate the relative

14、removal intensity g(t) as percentages of the annual load turnover. The removal data fisted in Table 1 is considered as  expected values for any crane, which can be applied to the estimation of fatigue life, and, particularly, for an inspected crane with which strain measurement was carried out

15、(see later). It would be possible for each crane to take advantage of its load turnover per one month, but to establish these data without special statistical investigation is difficult. Besides, to solve the problem of life prediction a knowledge of future loads is required, which we take as expect

16、ed values on cranes with similar operation conditions.  The distribution of removal value Q(t) per month performed by the relative intensity q(t) is written as  where Q is the annual load turnover of a log store, A is the maximal designed store of logs in percent of Q. Substituting the val

17、ue Q, which for the inspected crane equals 400,000 m3 per year, and A=10%, the volumes of loads transferred by the crane are obtained, which are listed in Table 2, with the total volume being 560,000 m3 for one year using K,. 2.2. Number of loading blocks The set of operations such as clamping, hois

18、ting, transferring, lowering, and getting rid of a load can be considered as one operation cycle (loading block) of the crane. As a result to investigations, the operation time of a cycle can be modeled by the normal variable with mean equal to 11.5 min and standard deviation to 1.5 min. unfortunate

19、ly, this characteristic cannot be simply used for the definition of the number of operation cycles for any work period as the local processing is extremely irregular. Using a total operation time of the crane and evaluations of cycle durations, it is easy to make large errors and increase the number

20、 of cycles compared with the real one. Therefore, it is preferred to act as follows. The volume of a unit load can be modeled by a random variable with a distribution function(t) having mean22 m3 and standard deviation 6；一 3 m3, with the nominal volume of one pack being 25 m3. Then, knowing the total volume of a processed load for a month or year, it is possible to determine distribution parameters of the number of operation cycles