In intelligent compaction, a critical issue is determining the combination of construction parameters (e.g., the rolling speed and the number of passes) for achieving optimal compaction results. In this paper, a finite element model was developed based on the Mohr-Coulomb elasto-plastic model to simulate the field compaction process of subgrade, which was validated by field compaction tests. Nonlinear multiple regression was used to match the impacts of construction factors on compaction quality based on the model simulation. Then, the linear search approach was used to find the ideal combination of construction parameters that optimizes the compaction quality. The findings indicated that the ideal combination of construction parameters for reaching the ideal compaction degree is a rolling speed of 1.3 m/s with 4 roller passes.
Citation: Chengyong Chen, Fagang Chang, Li Li, Wenqiang Dou, Changjing Xu. Optimization of intelligent compaction based on finite element simulation and nonlinear multiple regression[J]. Electronic Research Archive, 2023, 31(5): 2775-2792. doi: 10.3934/era.2023140
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In intelligent compaction, a critical issue is determining the combination of construction parameters (e.g., the rolling speed and the number of passes) for achieving optimal compaction results. In this paper, a finite element model was developed based on the Mohr-Coulomb elasto-plastic model to simulate the field compaction process of subgrade, which was validated by field compaction tests. Nonlinear multiple regression was used to match the impacts of construction factors on compaction quality based on the model simulation. Then, the linear search approach was used to find the ideal combination of construction parameters that optimizes the compaction quality. The findings indicated that the ideal combination of construction parameters for reaching the ideal compaction degree is a rolling speed of 1.3 m/s with 4 roller passes.
As we all know, nonlinear partial differential equations (NLPDEs) can describe various phenomena in physics [1,2,3], biology [4], chemistry [5,6] and finance [7], as well as several other fields [8,9,10]. The study of exact solutions for NLPDEs plays a significant role in the research of nonlinear physical phenomena. In the recent decades, a good many of valuable approaches was used to obtain exact wave solutions of NLPDEs, such as the inverse scattering method [11,12], iterative technique [13,14,15,16], test function method [17,18], Bäcklund transformation method [2,19,20], the sub-equation method [21,22], extended F-expansion method [22,23], Darboux transformation method [24], Hirota's bilinear method [25,26,27,28], the homogeneous balance method [29,30,31], the (G′/G)-expansion method [32,33], first integral method [34,35], tanh-sech method [36,37], extended homoclinic test method [38,39], Jacobi elliptic function method [40,41] and the Riccati-Bernoulli (RB) subsidiary ordinary differential equation method [42,43,44,45]. On the other hand, to obtain further information about natural phenomena, some analytical techniques and methods have also been developed for solving diverse differential equations, such as the fixed point theorem [9,46], upper and lower method [3,13,47] and dual approach [48]. In addition, due to the ability to better explain natural phenomena, many researchers have recently become interested in fractional order partial differential equations [1,9,13]. In this paper, we study the following the coupled Higgs field (CHF) equation [49]
utt−uxx−αu+β|u|2u−2uv=0, | (1a) |
vtt+vxx−β(|u|2)xx=0, | (1b) |
where utt=∂2u∂t2, uxx=∂2u∂x2, vtt=∂2v∂t2, vxx=∂2v∂x2, α>0 and β>0 are known constants and |u| denotes the modulus of the u.
Equation (1) is a coupled NLPDE, which describe the interactions between conserved scalar nucleons and neutral scalar mesons. Here, v(x,t) stands for a complex scalar nucleon field and u(x,t) stands for a real scalar meson field. For α<0, β<0, Eq (1) is called the coupled nonlinear Klein-Gordon equation. Hu et al. constructed analytic expressions of homoclinic orbits for Eq (1) by the Hirota's bilinear method [50]. Based on the first integral method [51], Taghizadeh et al. obtained exact solutions for Eq (1), and by applying an algebraic method [52], Hon et al. obtained exact solitary wave solutions for Eq (1).
Yang et al. first proposed the RB method to obtain the exact solutions of complex NLPDEs [42]. This method provided efficient and simple math tools for solving some NLPDEs in mathematical physics. We choose the RB method to solve Eq (1). This paper is organized as follows: Section two briefly describes the RB method. In section three, we apply the RB method to Eq (1). In section four, we give the Bäcklund transformations of Eq (1). Finally, some available conclusions are obtained and summarized in section five.
Next, we consider the following NLPDE
F(Ω,Ωx,Ωt,Ωxx,Ωxt,⋯)=0, | (2) |
where F is usually a polynomial function, Ω(x,t) is assumed to be a solution of Eq (2) and the subscripts denote the partial derivatives. Below, the main steps for the RB method are provided.
Step 1. Introduce a new variable η as follows:
η=μ(x+λt), | (3) |
where μ is a constant and λ stands for speed of localized wave. Then, Ω(x,t) is transformed into univariate functions
Ω(x,t)=Ω(η). | (4) |
We can convert Eq (2) to an ordinary differential equation by using Eqs (3) and (4)
F(Ω,Ω′,Ω″,Ω‴,⋯)=0, | (5) |
where Ω′ denotes dΩdη.
Step 2. Supposing Eq (5) is a solution of the following equation
Ω′=aΩ2−n+bΩ+cΩn, | (6) |
where a, b, c and n are constants that can be determined subsequently, taking the derivative of η on both sides of the Eq (6), we get
Ω″=(a(2−n)Ω1−n+cnΩn−1+b)Ω′, | (7) |
Ω‴=(a2(n−2)(2n−3)Ω2−2n+ab(n−3)(n−2)Ω1−n+n(2n−1)c2Ω2n−2+bcn(n+1)Ωn−1+(2ac+b2))Ω′. | (8) |
Remark 1. To avoid introducing new terminology, Eq (6) is called the RB equation. Clearly, if n=0 and ac≠0, Eq (6) reduces to the Riccati equation. If n≠1, a≠0 and c=0, Eq (6) reduces to the Bernoulli equation. Thus, Eq (6) includes the Riccati equation and the Bernoulli equation.
We present solutions of Eq (6) as follows:
Case 1. If n=1, Eq (6) has the following solution
Ω(η)=C1eη, | (9) |
where C1=Ce(a+b+c) and C is an arbitrary constant.
Case 2. If n≠1 and a=b=0, Eq (6) has the following solution
Ω(η)=(c(1−n)(η+C))11−n. | (10) |
Case 3. If n≠1, a=0 and b≠0, Eq (6) has the following solution
Ω(η)=(−cb+Ce−b(n−1)η)11−n. | (11) |
Case 4. If n≠1, a≠0 and Δ<0, Eq (6) has the following solution
Ω(η)=(−b+√−Δtan((1−n)√−Δ2(η+C))2a)11−n, | (12) |
where
Δ=b2−4ac. | (13) |
Case 5. If n≠1, a≠0 and Δ>0, Eq (6) has the following solution
Ω(η)=(√Δa(1−Ceη(1−n)√Δ)−b+√Δ2a)11−n. | (14) |
Case 6. If n≠1, a≠0 and Δ=0, Eq (6) has the following solution
Ω(η)=(1a(n−1)η+C−b2a)11−n. | (15) |
Step 3. First, we substitute the derivatives of Ω into Eq (5) and compare each coefficient of Ωi, and then we yield a set of algebraic equations for n, a, b, c and λ. Second we solve the algebraic equations and substitute n, a, b, c, λ and Eq (3) into Eqs (9)–(15), then we can get exact traveling wave solutions of Eq (2).
To verify the effectiveness of the RB method, we use it to solve Eq (1) in this section. We applied the traveling wave transformation
u(x,t)=h(η)ei(γx+δt). | (16) |
Equation (1) became the following equations
μ2(1−λ2)h″+2iμ(γ−λδ)h′+(2v−γ2+δ2+α)h−βh3=0, | (17) |
μ2(λ2v″+v″−β(h2)′′)=0, | (18) |
where μ, λ, γ, δ are constants that can be determined subsequently, and h, h′, h″, v denote h(η), dh(η)dη, d2h(η)dη2, v(η), respectively.
If we take
γ=δλ, | (19) |
Eq (17) becomes
μ2(1−λ2)h″+(−δ2λ2+δ2+2v+α)h−βh3=0. | (20) |
To avoid generating trivial solution, let μ≠0. Integrating Eq (18) twice and setting the first integration to zero, we have
v=βh2+A1+λ2, | (21) |
where A is the second integration constant. We substitute Eq (21) into (20), then we have
μ2(1−λ4)h″+(−δ2λ4+αλ2+δ2+2A+α)h+β(1−λ2)h3=0. | (22) |
Case Ⅰ. When λ=±1 from Eq (22), setting the coefficient of h to zero, we get
A=−α. | (23) |
From Eqs (22) and (23), an arbitrary function h=h(η) is the solution of Eq (22). According to Eqs (15), (16), (19), (21) and (22), we have exact solutions
u(x,t)=h(η)ei(±δx+δt), | (24a) |
v(x,t)=β(h(η))2−α2, | (24b) |
η=μ(x±t), | (24c) |
where μ, δ are arbitrary constants and h=h(η) is an arbitrary function.
Case Ⅱ. When λ≠±1, suppose Eq (22) is the solution of following equation
h′=ah2−n+bh+chn, | (25) |
where a, b and n are constants that are calculated subsequently.
By Eq (25), we have
h″=(nc2h2n−2−a2(n−2)h2−2n+bc(n+1)hn−1−ab(n−3)h1−n+b2+2ac)h. | (26) |
Substituting Eq (26) into (22), we get
(nc2h2n−2−a2(n−2)h2−2n+bc(n+1)hn−1−ab(n−3)h1−n+b2+2ac)h×μ2(1−λ4)+(−δ2λ4+αλ2+δ2+2A+α)h+β(1−λ2)h3=0. | (27) |
Setting n=0, Eq (27) becomes
μ2(1−λ4)(3abh2+2a2h3+bc+(2ac+b2)h)+(−δ2λ4+αλ2+δ2+2A+α)h+β(1−λ2)h3=0. | (28) |
Setting Eq (28) and each coefficient of hi(i=0,1,2,3) to zero, we get
μ2(1−λ4)bc=0, | (29a) |
μ2(1−λ4)(b2+2ac)+(−δ2λ4+αλ2+δ2+2A+α)=0, | (29b) |
3μ2(1−λ4)ab=0, | (29c) |
2μ2(1−λ4)a2+β(1−λ2)=0. | (29d) |
Solving Eq (29), we have
b=0, | (30a) |
ac=δ2λ4−αλ2−δ2−2A−α2μ2(1−λ4), | (30b) |
a=±1√2μ√−β1+λ2. | (30c) |
Case Ⅱ-1. When ac>0, substituting Eq (30) and n=0 into Eq (11), the solution of Eq (22) is
h(η)=±√−δ2λ4+αλ2+δ2+2A+αβ(1−λ2)×tan(1μ√−δ2λ4+αλ2+δ2+2A+α2(λ4−1)(μ+B)), | (31) |
where λ(λ≠±1), B, μ, δ and A are arbitrary constants. Then, we have
u(x,t)=±√−δ2λ4+αλ2+δ2+2A+αβ(1−λ2)×tan(√−δ2λ4+αλ2+δ2+2A+α2(λ4−1)(x+λt+B))eiδ(λx+t), | (32a) |
v(x,t)=−δ2λ4+αλ2+δ2+2A+α1−λ4×tan2(√−δ2λ4+αλ2+δ2+2A+α2(λ4−1)(x+λt+B))e2iδ(λx+t)+A1+λ2, | (32b) |
where λ(λ≠±1), A, B and δ are arbitrary constants.
Case Ⅱ-2. If ac<0, substituting Eq (30) and n=0 into Eq (12), the solution of Eq (22) is
h(η)=±√−δ2λ4+αλ2+δ2+2A+αβ(λ2−1)×1+Ce2ρημ1−Ce2ρημ, | (33) |
where λ(λ≠±1), C, μ, A and δ are arbitrary real constants and
ρ=±√−δ2λ4+αλ2+δ2+2A+α2(1−λ4). | (34) |
Then, we have
u(x,t)=±√−δ2λ4+αλ2+δ2+2A+αβ(λ2−1)×1+Ce2ρ(x+λt)1−Ce2ρ(x+λt)eiδ(λx+t), | (35a) |
v(x,t)=−δ2λ4+αλ2+δ2+2A+αλ4−1×(1+Ce2ρ(x+λt)1−Ce2ρ(x+λt))2e2iδ(λx+t)+A1+λ2, | (35b) |
where λ(λ≠±1), A, C, μ and δ are arbitrary constants. By taking C>0, Eq (35) becomes
u(x,t)=±√−δ2λ4+αλ2+δ2+2A+αβ(λ2−1)coth(ρ(x+λt+B))eiδ(λx+t), | (36a) |
v(x,t)=−δ2λ4+αλ2+δ2+2A+αλ4−1coth2(ρ(x+λt+B))e2iδ(λx+t)+A1+λ2, | (36b) |
where λ(λ≠±1), A, B, μ and δ are arbitrary constants. If we choose C<0, Eq (35) becomes
u(x,t)=±√−δ2λ4+αλ2+δ2+2A+αβ(λ2−1)tanh(ρ(x+λt+B))eiδ(λx+t), | (37a) |
v(x,t)=−δ2λ4+αλ2+δ2+2A+αλ4−1tanh2(ρ(x+λt+B))e2iδ(λx+t)+A1+λ2, | (37b) |
where λ(λ≠±1), A, B, μ and δ are arbitrary constants.
Case Ⅱ-3. If ac=0, substituting Eq (30) and n=0 into Eq (13), the solution of Eq (22) is
h(η)=1±1μ√−β2(1+λ2)η+C, | (38) |
where λ(λ≠±1), C and μ are arbitrary constants. Then, we have
u(x,t)=1±√−β2(1+λ2)(x+λt)+Ceiδ(λx+t), | (39a) |
v(x,t)=β(1+λ2)(±√−β2(1+λ2)(x+λt)+C)2e2iδ(λx+t)+δ2(λ2−1)−α2, | (39b) |
where λ(λ≠±1), C, A and δ are arbitrary constants. Eqs (24), (35) and (39) are a new type of exact traveling wave solutions to Eq (1). Eqs (36) and (37) are a new kind of envelope solitary solutions to Eq (1). Eq (32) is a new type of exact periodical wave solution to Eq (1). The solutions (24) and (39) could not be obtained by the method presented in [25,26]. The solutions (32) and (35)–(37) are identical to the results presented in [25].
If n=0, Eq (25) is the Riccati equation
h′=ah2+bh+c. | (40) |
Supposing that the solution of Eq (40) is the form
h2=h1+h0, | (41) |
where h0=h0(η) is a given solution of Eq (40) and h1=h1(η) is a function to be determined later. For this reason, substituting Eq (41) into (40) yields
h1′=ah21+(b+2ah0)h1. | (42) |
Solving Bernoulli equation Eq (42), we get h1, then we get h2. Thus, we have a Bäcklund transformation of Eq (40) as follows:
h2=h1+h0, |
h1′=ah21+(b+2ah0)h1. |
Using the Bäcklund transformation in section three, infinitely new solutions of Eq (1) can be obtained. For example, choosing
h0=h0(η)=√−δ2λ4+αλ2+δ2+2A+αβ(1−λ2)×tan(1μ√−δ2λ4+αλ2+δ2+2A+α2(λ4−1)η) | (43) |
and applying Eqs (41) and (42) to Case Ⅱ-1, we get
h1=h1(η)=sec2EηC−aEtanEη, | (44) |
where
a=1μ√−β2(1+λ2),E=1μ√−ρ2(1−λ4),η=μ(x+λt),ρ=−δ2λ4+αλ2+δ2+2A+α |
and μ, δ, λ and A are arbitrary constants. Then, we obtain a new solution of Eq (40)
h2=h2(η)=sec2EηC−aEtanEη+EatanEη. | (45) |
From Eq (21), we obtain
v(η)=β1+λ2(sec2EηC−aEtanEη+EatanEη)2+A1+λ2. | (46) |
Then, we obtain new solutions; that is,
u(x,t)=h2(η)eiδ(λx+t), | (47a) |
v(x,t)=v(η). | (47b) |
Similar to the above discussions, choosing
h0=h0(η)=μ√2(1+λ2)−β1η | (48) |
and applying Eqs (41) and (42) to Case Ⅱ-3, we obtain
h1=h1(η)=3η2C−aη3, | (49) |
where a=1μ√−β2(1+λ2),η=μ(x+λt) and μ, λ are arbitrary constants. Then, we obtain a new solution of Eq (40)
h2=h2(η)=3η2C−aη3+1aη. | (50) |
From Eq (21), we get
v(η)=β1+λ2(3η2C−aη3+1aη)2+A1+λ2, | (51) |
where μ, λ and A are arbitrary constants. Then, we have new solutions; that is,
u(x,t)=h2(η)eiδ(λx+t), | (52a) |
v(x,t)=v(η). | (52b) |
Similar to the above discussions, we can obtain a Bäcklund transformation of Eq (40) as follows:
hm+2=hm+1+hm, | (53a) |
h′m+1=ah2m+1+(b+2ahm)hm+1, | (53b) |
where m=1,2,3,...,hm=hm(η) is a given solution of Eq (40) and hm+1=hm+1(η) is a function to be determined later. Solving Eq (53b), we get hm+1, thus, we get hm+2, which is a new solution of Eq (40). Therefore, we get the Bäcklund transformations of Eq (1)
h′m+1=ah2m+1+(b+2ahm)hm+1, | (54a) |
hm+2=hm+1+hm, | (54b) |
u(x,t)=h2(η)eiδ(λx+t), | (54c) |
v(x,t)=v(η), | (54d) |
where hm=hm(η) is a given solution of Eq (40).
Remark 2. In general, we can get the Bäcklund transformations of Eq (5) as follows:
wm=h1−nm, | (55a) |
w′m+1=(1−n)(aw2m+1+(b+2awm)wm+1), | (55b) |
wm+2=wm+1+wm, | (55c) |
hm+1=w11−nm+2, | (55d) |
where wm,wm+1,wm+2,hm and hm+1 are functions of η. Suppose that hm=hm(η) is a given solution of Eq (5). From Eq (55a), we can get wm. Solving Eq (55b), we obtain wm+1. According to Eq (55c) and (55d), we obtain a new solution of Eq (5).
In this paper, we established exact traveling wave solutions of the CHF equation by using the RB method. Many new solutions of the CHF equation were obtained using the Bäcklund transformations. Many well-known NLPDEs can be processed in this way. We used computer software like Maple and Mathematica to facilitate the tedious algebraic calculations. Therefore, the RB method was a standard and computerizable approach. At the same time, the performance of this method was also found to be simple and efficient.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This work is granted by the domestic visiting scholar project for core teachers of Jining Medical University, the Doctoral Research Foundation of Jining Medical University (2017JYQD22).
The authors declare there are no conflicts of interest.
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